{"id":110,"date":"2018-09-24T13:28:15","date_gmt":"2018-09-24T11:28:15","guid":{"rendered":"https:\/\/project.inria.fr\/hianic\/?page_id=110"},"modified":"2018-09-24T13:38:06","modified_gmt":"2018-09-24T11:38:06","slug":"deliverables","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/hianic\/deliverables\/","title":{"rendered":"Deliverables"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Delivrables<\/span><\/td>\nDescription<\/span><\/td>\nDate<\/span><\/td>\nPartner<\/span><\/td>\n<\/tr>\n
Task 1<\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
D1.1<\/td>\nReport and algorithm on methodologies used for pedestrian detection and classification (on-board\/off-board sensors)<\/td>\nT0+12<\/td>\nInria-RITS<\/td>\n<\/tr>\n
D1.2<\/td>\nReport and algorithm on the choice of the P2V architecture and functional requirements<\/td>\nT0+12<\/td>\nInria-RITS<\/td>\n<\/tr>\n
D1.3<\/td>\nReport and algorithm on the fusion of perception\/communication to perform pedestrians detection and determine pedestrians locations<\/td>\nT0+12<\/td>\nInria-RITS<\/td>\n<\/tr>\n
D1.4<\/td>\nReport on factors affecting environmental crowd complexity<\/td>\nT0+12<\/td>\nLIG-Hawai<\/td>\n<\/tr>\n
D1.5<\/td>\nModel and simulator of crowd mobility for different crowd complexities<\/td>\nT0+18<\/td>\nLIG-Hawai<\/td>\n<\/tr>\n
D1.6<\/td>\nReport on algorithms to anticipate crowd mobility compared to vehicle movement<\/td>\nT0+24<\/td>\nLIG-Hawai<\/td>\n<\/tr>\n
Task 2<\/span><\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
D.2.1<\/td>\nReport on the proxemics models to be used for crowds<\/td>\nT0+12<\/td>\nInria-RA<\/td>\n<\/tr>\n
D.2.2<\/td>\nRisk-Based navigation method<\/td>\nT0+18<\/td>\nInria-RA<\/td>\n<\/tr>\n
D.2.3<\/td>\nCrowd following method<\/td>\nT0+24<\/td>\nInria-RA<\/td>\n<\/tr>\n
Task 3<\/span><\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
D.3.1<\/td>\nState of the art about the safe field of travel and passenger\u2019s estimation of risk<\/td>\nT0+18<\/td>\nLS2N<\/td>\n<\/tr>\n
D.3.2<\/td>\nExperimental report<\/td>\nT0+24<\/td>\nLS2N<\/td>\n<\/tr>\n
D.3.3<\/td>\nPassenger\u2019s risk estimation model<\/td>\nT0+30<\/td>\nLS2N<\/td>\n<\/tr>\n
Task 4<\/span><\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
D 4.1<\/td>\nReport on control law design and evaluation (simulation, pdf)<\/td>\nT0+28<\/td>\nLS2N<\/td>\n<\/tr>\n
D 4.2<\/td>\nReport on Proactive and intentional navigation ( pdf)<\/td>\nT0+30<\/td>\nLS2N<\/td>\n<\/tr>\n
Task 5<\/strong><\/span><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
D.5.1<\/td>\nState of the art in existing and feasible vehicle\/pedestrian interface<\/td>\nT0+12<\/td>\nInria-RA<\/td>\n<\/tr>\n
D.5.2<\/td>\nEquipment of the Zoe H\/R interface (microphones, leds, \u2026)<\/td>\nT0+18<\/td>\nInria-RA<\/td>\n<\/tr>\n
D.5.3<\/td>\nP2V communication algorithm<\/td>\nT0+24<\/td>\nInria-RITS<\/td>\n<\/tr>\n
D.5.4<\/td>\nEvaluation of the communication efficiency<\/td>\nT0+30<\/td>\nInria-RA<\/td>\n<\/tr>\n
Task 6<\/span><\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
D.6.1<\/td>\nSoftware architecture (pdf)<\/td>\nT0+12<\/td>\nLS2N<\/td>\n<\/tr>\n
D.6.2<\/td>\nDemonstrator operational (pdf)<\/td>\nT0+30<\/td>\nLS2N<\/td>\n<\/tr>\n
D.6.3<\/td>\nDemonstration report (pdf)<\/td>\nT0+36<\/td>\nLS2N<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Delivrables Description Date Partner Task 1 D1.1 Report and algorithm on methodologies used for pedestrian detection and classification (on-board\/off-board sensors) T0+12 Inria-RITS D1.2 Report and algorithm on the choice of the P2V architecture and functional requirements T0+12 Inria-RITS D1.3 Report and algorithm on the fusion of perception\/communication to perform pedestrians\u2026<\/p>\n

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