A new reinforcement learning vehicle control architecture for vision-based road following.
Se-Young OhJeong-Hoon LeeDoo-Hyun ChoiPublished in: IEEE Trans. Veh. Technol. (2000)
Keyphrases
- control architecture
- reinforcement learning
- vision system
- robotic systems
- intelligent vehicles
- driver assistance systems
- traffic surveillance
- real time
- control system
- vehicle detection
- autonomous agents
- control strategy
- gaze control
- function approximation
- vehicle detection and tracking
- pedestrian detection
- distributed control
- lane detection
- model free
- advanced driver assistance systems
- control theoretic
- state space
- multi agent reinforcement learning
- shop floor
- computer vision
- vehicle speed
- reinforcement learning algorithms
- moving vehicles
- learning algorithm
- real robot
- multi agent
- human computer interaction
- intelligent transportation systems
- optimal control
- autonomous robots
- augmented reality
- markov decision processes
- robot control
- control strategies
- action selection
- computer controlled
- closed loop
- temporal difference
- hough transform
- electric vehicles
- supervisory control
- human body
- action space
- autonomous vehicles
- image sequences