DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles.
Sebastian HuchFlorian SauerbeckJohannes BetzPublished in: CoRR (2023)
Keyphrases
- end to end
- deep learning
- autonomous vehicles
- spatio temporal
- path planning
- structured environments
- obstacle avoidance
- unsupervised learning
- unsupervised feature learning
- machine learning
- moving objects
- robot control
- mobile robot
- mental models
- weakly supervised
- multiagent systems
- congestion control
- stereo vision
- autonomous agents
- object recognition
- decision making
- data mining
- real time
- high dimensional
- learning algorithm