Meetings

2021 January 14th: Virtual workshop with all partners

9h00-11h45 Presentation of work progresses
– 9h-9h30 Manon Prédhumeau : Crowd simulation in shared spaces
– 9h30-10h Maria Kabtoul : Proactive Navigation
– 10h-10h30 Jeffery Petit : Passagers’ Risk assessment

10h30- 10h45 coffee break

– 10h45-11h15 Danut Pop: Multi-task Deep Learning for Pedestrian Detection
– 11h15-11h45 Vincent Frémont : Embedded pedestrian detection and tracking

11h45-12h30 Discussion

2019 February 20th: Workshop with all partners in Lyon

9:30-10:00 Coffee
10:00-12:30 Presentation of PhD progresses (Jeffery Petit, Manon Prédhumeau, Maria Kabtoul, Danut Pop)
12:30-14:00 Lunch
14:00-14:30 Presentation of scenarios (Manon Prédhumeau) and discussion
14:30-15:30 Presentation of the hardware and software architecture (LS2N)
15:30-16:00 Discussion

2018 October 23rd: Workshop with new phD members and all partners in Lyon

9:30-10:00 Coffee
10:00-10:30 Round table
10:30-11:00 Project presentation (A. Spalanzani)
11:00-15:30 Working program of each partner and/or recruited staff

  • 11:00-11:30 Inria Pervasive-Chroma (D. Vaufreydaz, A. Spalanzani)
  • 11:30-12:00 LIG Hawai-Inria (J. Dugdale, A. Spalanzani, M. Predhumeau)
  • 12:00-12:30 Inria Chorale-Chroma (P. Martinet, A. Spalanzani, M. Kabtoul)

12:30-14:00 Lunch

  • 14:00-14:30 LS2N PACCE (F. Mars, Camilo Charron, Jeffery Petit)
  • 14:30-15:00 LS2N ARMEN (G. Garcia, P. Martinet)
  • 15:00-15:30 Inria Paris (F. Nashashibi)

15:30-16:30 Discussion on the livrables to produce, working program, next meeting

 


2018 January 22nd: Kickoff meeting in Grenoble

9:30-10:00 Coffee
10:00-10:30 Round table
10:30-11:00 Project presentation (A. Spalanzani)
11:00-15:00 Scientific presentations of each partner
11:00-11:30 LS2N (PACCE, F. Mars)
11:30-12:00 LS2N (ARMEN, G. Garcia, P. Martinet)
12:00-12:30 Inria Paris (F. Nashashibi)

12:30-14:00 Lunch

14:00-14:30 LIG (J. Dugdale, C. Adam)
14:30-15:00 Inria (D. Vaufreydaz, A. Spalanzani)
15:00-16:30 Discussion on the working program, next meeting

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