{"id":154,"date":"2024-08-09T14:13:17","date_gmt":"2024-08-09T12:13:17","guid":{"rendered":"https:\/\/project.inria.fr\/agrifoodtef\/?page_id=154"},"modified":"2026-03-13T14:57:52","modified_gmt":"2026-03-13T13:57:52","slug":"aerial-robots","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/agrifoodtef\/aerial-robots\/","title":{"rendered":"Aerial Robots"},"content":{"rendered":"<p>At ACENTAURI-INRIA, we have many robots for different research projects used by Researchers, Engineers, Ph.D. students, and Postdocs.<\/p>\n\n\n\n<p>For AgrifoodTEF, at the moment we have two types of Unmanned Aerial Vehicles (UAVs) i.e. <em><code><strong>DJI's Matrice 300 RTK (shared with other projects), DJI's Matrice 400 RTK (coming soon), Skydrone's VERSATYL (dedicated)<\/strong><\/code><\/em>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/enterprise.dji.com\/fr\/matrice-300\">DJI Matrice 300 RTK<\/a><\/h3>\n\n\n\n<p>The DJI Matrice 300 RTK is a platform inspired by modern aviation systems. Offering up to 55 minutes of flight time, advanced AI capabilities, 6-way sensing and positioning and more, the Matrice 300 RTK sets a whole new standard, combining high-performance intelligence and unrivalled reliability.<br><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-28-093937.png\"><img loading=\"lazy\" decoding=\"async\" width=\"951\" height=\"401\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-28-093937.png\" alt=\"\" class=\"wp-image-280\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-28-093937.png 951w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-28-093937-300x126.png 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-28-093937-768x324.png 768w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-28-093937-150x63.png 150w\" sizes=\"auto, (max-width: 951px) 100vw, 951px\" \/><\/a><\/figure>\n\n\n\n<p>In the framework of AgrifoodTEF, this robot is being used for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data acquisition and Geolocalisation<\/li>\n\n\n\n<li>Ground truth for testing and evaluation of AI and Robotic Algorithms<\/li>\n\n\n\n<li>Autonomous navigation<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"526\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk-1024x526.png\" alt=\"\" class=\"wp-image-265\" style=\"width:461px;height:237px\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk-1024x526.png 1024w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk-300x154.png 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk-768x394.png 768w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk-150x77.png 150w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/matrice300rtk.png 1060w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption class=\"wp-element-caption\">DJI&#8217;s Matrice 300 RTK<\/figcaption><\/figure><\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"DJI Enterprise Matrice 300 RTK and Zenmuse H20 Series - Comprehensive Industrial Drone Platform\" width=\"900\" height=\"506\" src=\"https:\/\/www.youtube.com\/embed\/V-4Om_4n998?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Specifications<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Teleoperation:<\/strong> Bluetooth 5.1 (Range 10 meter)<\/li>\n\n\n\n<li><strong>Teleconnection:<\/strong> ~ 1km<\/li>\n\n\n\n<li><strong>Cameras<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/store.intelrealsense.com\/buy-intel-realsense-depth-camera-d457.html\">Intel Realsense D457<\/a><\/strong><br><strong>RGB<\/strong>: 1MP, 1280&#215;800 (30 fps), <strong>Depth<\/strong>: 1280&#215;720 (90 fps, Stereoscopic), <strong>Range<\/strong>: 0.6 to 6 m<\/li>\n\n\n\n<li><a href=\"https:\/\/www.intelrealsense.com\/depth-camera-d435f\/\"><strong>Intel RealSense D435f<\/strong><\/a><br><strong>RGB<\/strong>: 2MP, 1920&#215;1080 (30 fps), <strong>Depth<\/strong>: 1280&#215;720 (90 fps, Stereoscopic), <strong>Range<\/strong>: 0.3 to 3 m<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>LiDAR<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.robosense.ai\/en\/rslidar\/RS-Helios\">RoboSense RS-HELIOS 1615<\/a><\/strong><br><strong>Beams<\/strong>: 16, <strong>Wavelength<\/strong>: 95 nm, <strong>Range<\/strong>: 150 m, <strong>Precision<\/strong>: 1 cm, <strong>FoV<\/strong> (<strong>Vertical<\/strong>: 360\u00b0, <strong>Horizontal<\/strong>: -15\u00b0 to +15\u00b0)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>GPS-RTK<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.u-blox.com\/en\/product\/zed-f9p-module\">Ublox ZED-F9P<\/a><\/strong> <strong>(Receiver)<\/strong><br><strong>Type<\/strong>: Multiband GNNS high precision, <strong>Accuracy RMS<\/strong>: 30 ns, <strong>Frequency<\/strong>: 0.25 Hz to 10M Hz, <strong>Velocity Accuracy<\/strong>: 500m\/s, <strong>Acquisition Time<\/strong>: 2s, <strong>Navigation Update Rate<\/strong>: 7 Hz (Max)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>IMU<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.vectornav.com\/products\/detail\/vn-100\">VectorNav VN-100T-CR<\/a><\/strong><br><strong>Gyro in-run Bias<\/strong>: 5\u00b0\/Hr, <strong>Accelerometer Range<\/strong>: \u00b116 g, <strong>Gyroscope Range<\/strong>: \u00b12000\/sec, <strong>EKF Update Rate<\/strong>: 400 Hz, <strong>IMU Data<\/strong>: 800 Hz, <strong>Pitch\/Roll<\/strong>: 0.5\u00b0, <strong>Accelerometer in-run Bias<\/strong>: &lt;0.04 mg<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102005.png\"><img loading=\"lazy\" decoding=\"async\" width=\"504\" height=\"231\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102005.png\" alt=\"\" class=\"wp-image-242\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102005.png 504w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102005-300x138.png 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102005-150x69.png 150w\" sizes=\"auto, (max-width: 504px) 100vw, 504px\" \/><\/a><figcaption class=\"wp-element-caption\">RealSense D457<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102157.png\"><img loading=\"lazy\" decoding=\"async\" width=\"345\" height=\"330\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102157.png\" alt=\"\" class=\"wp-image-244\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102157.png 345w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102157-300x287.png 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102157-150x143.png 150w\" sizes=\"auto, (max-width: 345px) 100vw, 345px\" \/><\/a><figcaption class=\"wp-element-caption\">RoboSense RS-HELIOS 1615<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102555.png\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"264\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102555.png\" alt=\"\" class=\"wp-image-245\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102555.png 800w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102555-300x99.png 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102555-768x253.png 768w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102555-150x50.png 150w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/a><figcaption class=\"wp-element-caption\">RealSense D435f<\/figcaption><\/figure><\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102706.png\"><img loading=\"lazy\" decoding=\"async\" width=\"201\" height=\"197\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102706.png\" alt=\"\" class=\"wp-image-246\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102706.png 201w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-102706-150x147.png 150w\" sizes=\"auto, (max-width: 201px) 100vw, 201px\" \/><\/a><figcaption class=\"wp-element-caption\">RTK-GPS Receiver<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-103216.png\"><img loading=\"lazy\" decoding=\"async\" width=\"429\" height=\"280\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-103216.png\" alt=\"\" class=\"wp-image-247\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-103216.png 429w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-103216-300x196.png 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/Screenshot-2024-08-12-103216-150x98.png 150w\" sizes=\"auto, (max-width: 429px) 100vw, 429px\" \/><\/a><figcaption class=\"wp-element-caption\">IMU VectorNav VN-100T-CR<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"1500\" height=\"938\" src=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna-edited.jpg\" alt=\"\" class=\"wp-image-251\" style=\"width:225px\" srcset=\"https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna-edited.jpg 1500w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna-edited-300x188.jpg 300w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna-edited-1024x640.jpg 1024w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna-edited-768x480.jpg 768w, https:\/\/project.inria.fr\/agrifoodtef\/files\/2024\/08\/GNS-Antenna-edited-150x94.jpg 150w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \/><\/a><figcaption class=\"wp-element-caption\">RTK-GPS Antenna<\/figcaption><\/figure><\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<h3 class=\"wp-block-heading\">Usage in Facilities<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Mobile Living Laboratory<\/li>\n\n\n\n<li>UAV Arena<\/li>\n\n\n\n<li>AzurArena Parking<\/li>\n\n\n\n<li>Private Parking<\/li>\n<\/ol>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h3 class=\"wp-block-heading\">Usage in Services<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>S00209 General Purpose Datasets via Multisensored Ground Robot<\/li>\n\n\n\n<li>S00210 General purpose datasets via Multisensored aerial robot<\/li>\n\n\n\n<li>S00211 General Purpose Datasets with user specified sensor(s)<\/li>\n\n\n\n<li>S00212 Testing and Evaluation of Mobility Algorithms for Ground Robot<\/li>\n\n\n\n<li>S00213 Testing and Evaluation of Mobility Algorithms for an Aerial Robot<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<p><strong><code>This is a movable equipment, cofunded by AgrifoodTEF<\/code><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<!-- ==================== DJI MATRICE 400 RTK ==================== -->\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/enterprise.dji.com\/matrice-400\">DJI Matrice 400 RTK<\/a><\/h3>\n\n\n\n<p>The DJI Matrice 400 RTK is the next-generation heavy-lift multirotor UAV and enterprise flagship from DJI. It offers up to 59 minutes of flight time, a payload capacity of up to 6 kg, and an advanced obstacle sensing system. The platform has been acquired by the team and is currently undergoing operational qualification.<\/p>\n\n\n\n<p>In the framework of AgrifoodTEF, this UAV will be used for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High-resolution RGB and multispectral mapping<\/li>\n\n\n\n<li>LiDAR-based 3D point cloud acquisition<\/li>\n\n\n\n<li>Thermal and multispectral data collection for crop monitoring<\/li>\n\n\n\n<li>Ground truth for testing and evaluation of AI and Robotic Algorithms<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/enterprise.dji.com\/matrice-400\"><img decoding=\"async\" src=\"https:\/\/www.flyingeye.fr\/wp-content\/uploads\/2025\/06\/DJI-Matrice-400.webp\" alt=\"DJI Matrice 400 RTK\"\/><\/a><figcaption class=\"wp-element-caption\">DJI Matrice 400 RTK<\/figcaption><\/figure><\/div><\/div>\n<\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Exclusivit\u00e9 | D\u00e9couvrez DJI Matrice 400 \u2013 Con\u00e7u pour l\u2019excellence, con\u00e7u pour la polyvalence\" width=\"900\" height=\"506\" src=\"https:\/\/www.youtube.com\/embed\/GAmC039FPE8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Platform Specifications<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Type:<\/strong> Heavy-lift multirotor UAV<\/li>\n\n\n\n<li><strong>Max flight time:<\/strong> 59 min (forward flight) \/ 53 min (hover)<\/li>\n\n\n\n<li><strong>Max payload:<\/strong> 6 kg \u2014 up to 7 simultaneous payloads<\/li>\n\n\n\n<li><strong>Positioning:<\/strong> RTK GNSS \u2014 RTK fix: 1 cm + 1 ppm (H) \/ 1.5 cm + 1 ppm (V)<\/li>\n\n\n\n<li><strong>IP rating:<\/strong> IP55<\/li>\n\n\n\n<li><strong>Operating temp.:<\/strong> \u221220 \u00b0C to +50 \u00b0C<\/li>\n\n\n\n<li><strong>Status:<\/strong> Acquired \u2014 pending operational qualification<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Payloads &amp; Sensors<\/h4>\n\n\n\n<!-- ===== Zenmuse P1 ===== -->\n\n<h5 class=\"wp-block-heading\"><a href=\"https:\/\/enterprise.dji.com\/zenmuse-p1\">Zenmuse P1 \u2014 Full-Frame RGB Mapping Camera<\/a><\/h5>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/enterprise.dji.com\/zenmuse-p1\"><img decoding=\"async\" src=\"https:\/\/www.flyingeye.fr\/wp-content\/uploads\/2020\/10\/dji-zenmuse-p1-1-240x240.jpg\" alt=\"Zenmuse P1\"\/><\/a><figcaption class=\"wp-element-caption\">Zenmuse P1<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:70%\">\n<p>The Zenmuse P1 integrates a full-frame 45 MP sensor with a mechanical shutter and interchangeable fixed-focus lenses, delivering exceptional photogrammetry results with centimetric absolute accuracy.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Sensor:<\/strong> 35.9 \u00d7 24 mm full-frame CMOS \u2014 45 MP \u2014 pixel size 4.4 \u00b5m<\/li>\n\n\n\n<li><strong>Photo resolution:<\/strong> 8192 \u00d7 5460 (3:2)<\/li>\n\n\n\n<li><strong>Compatible lenses:<\/strong> 24 mm (FOV 84\u00b0), 35 mm (FOV 63.5\u00b0), 50 mm (FOV 46.8\u00b0)<\/li>\n\n\n\n<li><strong>Shutter:<\/strong> Mechanical 1\/2000 s \u2013 1 s \/ Electronic 1\/8000 s \u2013 1 s<\/li>\n\n\n\n<li><strong>Absolute accuracy:<\/strong> Horizontal 3 cm \/ Vertical 5 cm (at 3 cm GSD, 75%\/55% overlap)<\/li>\n\n\n\n<li><strong>Gimbal:<\/strong> 3-axis stabilised \u2014 \u00b10.01\u00b0 angular vibration<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<!-- ===== Zenmuse L3 ===== -->\n\n<h5 class=\"wp-block-heading\"><a href=\"https:\/\/enterprise.dji.com\/zenmuse-l3\">Zenmuse L3 \u2014 LiDAR + RGB Mapping<\/a><\/h5>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/enterprise.dji.com\/zenmuse-l3\"><img decoding=\"async\" src=\"https:\/\/www.flyingeye.fr\/wp-content\/uploads\/2025\/10\/DJI-Zenmuse-L3-2.png\" alt=\"Zenmuse L3\"\/><\/a><figcaption class=\"wp-element-caption\">Zenmuse L3<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:70%\">\n<p>The Zenmuse L3 combines a high-precision LiDAR module with a dual 100 MP RGB camera system, enabling simultaneous point cloud and visual data acquisition from a single payload.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>LiDAR wavelength:<\/strong> 1535 nm \u2014 Class 1 laser (IEC 60825-1:2014)<\/li>\n\n\n\n<li><strong>Point cloud accuracy @ 120 m:<\/strong> Vertical 3 cm RMSE \/ Horizontal 4 cm RMSE<\/li>\n\n\n\n<li><strong>Point cloud accuracy @ 300 m:<\/strong> Vertical 5 cm RMSE \/ Horizontal 7.5 cm RMSE<\/li>\n\n\n\n<li><strong>Detection range:<\/strong> up to 2000 m (80% reflectivity, 100 kHz)<\/li>\n\n\n\n<li><strong>Scan modes:<\/strong> Linear (80\u00b0 H \u00d7 3\u00b0 V), Star (80\u00b0 H \u00d7 80\u00b0 V), Non-repetitive (80\u00b0 H \u00d7 80\u00b0 V)<\/li>\n\n\n\n<li><strong>RGB camera:<\/strong> Dual 4\/3&#8243; CMOS \u2014 100 MP (12288 \u00d7 8192) \u2014 combined FOV 107\u00b0 H<\/li>\n\n\n\n<li><strong>RGB GSD:<\/strong> ~3 cm average @ 300 m nadir<\/li>\n\n\n\n<li><strong>Position accuracy (RTK fix):<\/strong> H: 1.0 cm + 1 ppm \/ V: 1.5 cm + 1 ppm<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<!-- ===== MicaSense Altum-PT ===== -->\n\n<h5 class=\"wp-block-heading\"><a href=\"https:\/\/micasense.com\/altum-pt\/\">MicaSense Altum-PT \u2014 Multispectral + Thermal<\/a><\/h5>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/micasense.com\/altum-pt\/\"><img decoding=\"async\" src=\"https:\/\/www.flyingeye.fr\/wp-content\/uploads\/2021\/11\/micasense-altum-pt-2.jpg\" alt=\"MicaSense Altum-PT\"\/><\/a><figcaption class=\"wp-element-caption\">MicaSense Altum-PT<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:70%\">\n<p>The MicaSense Altum-PT captures simultaneous multispectral, panchromatic, and thermal (LWIR) imagery in a single flight, ideal for crop health monitoring and stress detection.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Multispectral bands (5):<\/strong> Blue 475 nm, Green 560 nm, Red 668 nm, Red Edge 717 nm, NIR 842 nm<\/li>\n\n\n\n<li><strong>Panchromatic:<\/strong> 634.5 nm centre \u2014 12 MP (4112 \u00d7 3008 px)<\/li>\n\n\n\n<li><strong>Thermal (LWIR):<\/strong> 10.5 \u00b5m centre \u2014 320 \u00d7 256 px \u2014 sensitivity &lt;60 mK \u2014 accuracy \u00b15 K<\/li>\n\n\n\n<li><strong>GSD @ 120 m:<\/strong> 5.28 cm\/px (MS) \/ 2.49 cm\/px (Panchro) \/ 33.5 cm\/px (Thermal)<\/li>\n\n\n\n<li><strong>GSD @ 60 m:<\/strong> 2.64 cm\/px (MS) \/ 1.24 cm\/px (Panchro) \/ 16.75 cm\/px (Thermal)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<!-- ===== MicaSense RedEdge-P ===== -->\n\n<h5 class=\"wp-block-heading\"><a href=\"https:\/\/micasense.com\/rededge-p\/\">MicaSense RedEdge-P \u2014 Multispectral<\/a><\/h5>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/micasense.com\/rededge-p\/\"><img decoding=\"async\" src=\"https:\/\/www.flyingeye.fr\/wp-content\/uploads\/2021\/11\/micasense-rededge-p-2.jpg\" alt=\"MicaSense RedEdge-P\"\/><\/a><figcaption class=\"wp-element-caption\">MicaSense RedEdge-P<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:70%\">\n<p>The MicaSense RedEdge-P is a compact multispectral camera delivering five spectral bands plus a high-resolution panchromatic channel, optimised for vegetation index computation (NDVI, NDRE, etc.).<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Spectral bands (5):<\/strong> Blue 475 nm, Green 560 nm, Red 668 nm, Red Edge 717 nm, NIR 842 nm<\/li>\n\n\n\n<li><strong>Panchromatic:<\/strong> 634.5 nm centre \u2014 5.1 MP (2464 \u00d7 2056 px)<\/li>\n\n\n\n<li><strong>Multispectral resolution:<\/strong> 1456 \u00d7 1088 px (1.58 MP\/band)<\/li>\n\n\n\n<li><strong>GSD @ 120 m:<\/strong> 7.7 cm\/px (MS) \/ 3.98 cm\/px (Panchro)<\/li>\n\n\n\n<li><strong>GSD @ 60 m:<\/strong> 3.85 cm\/px (MS) \/ 1.99 cm\/px (Panchro)<\/li>\n\n\n\n<li><strong>Output bit depth:<\/strong> 12-bit<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<!-- ===== H30T ===== -->\n\n<h5 class=\"wp-block-heading\"><a href=\"https:\/\/enterprise.dji.com\/zenmuse-h30t\">H30T \u2014 Multi-sensor Pod<\/a><\/h5>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/enterprise.dji.com\/zenmuse-h30t\"><img decoding=\"async\" src=\"https:\/\/www.flyingeye.fr\/wp-content\/uploads\/2024\/05\/H30T.jpg\" alt=\"DJI H30T\"\/><\/a><figcaption class=\"wp-element-caption\">DJI H30T<\/figcaption><\/figure><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:70%\">\n<p>The DJI H30T is an all-weather multi-sensor pod compatible with the Matrice 400, integrating a wide-angle camera, zoom camera, infrared thermal camera, and laser rangefinder in a single compact payload.<\/p>\n<\/div>\n<\/div>\n\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<h4 class=\"wp-block-heading\">Usage in Facilities<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Mobile Living Laboratory<\/li>\n\n\n\n<li>UAV Arena<\/li>\n\n\n\n<li>AzurArena Parking<\/li>\n\n\n\n<li>Private Parking<\/li>\n<\/ol>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h4 class=\"wp-block-heading\">Usage in Services<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>S00209 General Purpose Datasets via Multisensored Ground Robot<\/li>\n\n\n\n<li>S00210 General purpose datasets via Multisensored aerial robot<\/li>\n\n\n\n<li>S00211 General Purpose Datasets with user specified sensor(s)<\/li>\n\n\n\n<li>S00213 Testing and Evaluation of Mobility Algorithms for an Aerial Robot<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<p><strong><code>This is a movable equipment, cofunded by AgrifoodTEF<\/code><\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>At ACENTAURI-INRIA, we have many robots for different research projects used by Researchers, Engineers, Ph.D. students, and Postdocs. For AgrifoodTEF, at the moment we have two types of Unmanned Aerial Vehicles (UAVs) i.e. DJI&#8217;s Matrice 300 RTK (shared with other projects), DJI&#8217;s Matrice 400 RTK (coming soon), Skydrone&#8217;s VERSATYL (dedicated).\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/agrifoodtef\/aerial-robots\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":2478,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-154","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/pages\/154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/users\/2478"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/comments?post=154"}],"version-history":[{"count":20,"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/pages\/154\/revisions"}],"predecessor-version":[{"id":410,"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/pages\/154\/revisions\/410"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/agrifoodtef\/wp-json\/wp\/v2\/media?parent=154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}