Project-Team:CHROMA

Project-Team Chroma

Personnel

Overall Objectives

Origin of the project
Overall Objectives
Research themes

Research Program

Introduction
Perception and Situation Awareness
Navigation and cooperation in dynamic environments

Application Domains

Introduction
Future cars and transportation systems
Services robotics

Highlights of the Year

New Software and Platforms

CUDA-HSBOF
E.R.C.I.
Embedded Perception
kinetics
VI-SFM
Ground Elevation and Occupancy Grid Estilmator (GEOG - Estimator)
CMCDOT
cuda_grid_fusion
cuda_laser_grid
CMCDOT-Tools
DWA Planner on occupancy grid
Zoe Simulation
PedSim-ROS

New Results

Bayesian Perception
Situation Awareness
Robust state estimation (Sensor fusion)
Motion-planning in human-populated environment
Decision Making in Multi-Robot Systems

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry
Bilateral Grants with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Major publications
Publications of the year
References in notes

Inria | Raweb 2017 | Presentation of the Project-Team CHROMA | CHROMA Web Site


	PDF	e-Pub

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Section: New Software and Platforms

Embedded Perception

Functional Description: The method for computing occupancy grids from a stereoscopic sensor, developped in the e-motion team, has been implemented on GPU, using NVIDIA CUDA. This allows a real time implementation and an online processing within the Lexus experimental platform.

Participants: Amaury Nègre, Christian Laugier and Mathias Perrollaz
Contact: Christian Laugier

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