An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios.
Leandro ParadaHanlin TianJose Escribano MaciasPanagiotis AngeloudisPublished in: ITSC (2023)
Keyphrases
- end to end
- autonomous vehicles
- collaborative learning
- obstacle avoidance
- structured environments
- path planning
- robot control
- wireless ad hoc networks
- mobile robot
- multiagent systems
- high bandwidth
- admission control
- real world
- autonomous agents
- real time
- transport layer
- scalable video
- stereo vision
- internet protocol
- congestion control
- application layer
- motion estimation
- cooperative
- computer vision
- neural network