AI technologies applied to image analysis address the field of passenger and goods transportation, both for the autonomous vehicle and for assistance and optimization of multimodal transportation.
AI for autonomous vehicles
CEA LIST has been developing technologies dedicated to autonomous vehicle and its ecosystem.
Perception of the environment for autonomous vehicles and ADAS
Deep learning algorithm for detection of road users in 2D and 3D, traffic lights, traffic signs and ground markings, free space semantic segmentation and depth map prediction
Indoor geolocalization by vision: demonstrator of level 4 autonomous bus for intelligent parking in RATP underground bus central station
Perception of the road environment with cameras embedded on the infrastructure
Driver and passenger monitoring in autonomous vehicle and shuttle
User experience and innovative services
AI for sustainable mobility
Pedestrian and cyclist counting with wide angle stereoscopic camera
CEA LIST develops for Eco-Compteur computeur vision technologies for real-time users counting at the service of active transportation.
Smart management of parking lots
AI for multimodal mobility : MaaS
MaaS (Mobility-as-a-Service) is a service platform to plan and book travel and to pay for multimodal journey, with the aim to reduce personal vehicle use and solo driving.
CEA LIST technologies apply to MaaS area and to new service development to ease multimodal transport and connections of vulnerable travellers in underground train station and in airports areas.
Natural Language Processing for quality and system engineering management process
LIMA is CEA LIST natural language processing tool managing 60 languages and dialects. It enables automatic analysis of large documentary base and automatic generation of reports in natural language.