DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles.
Sebastian HuchFlorian SauerbeckJohannes BetzPublished in: IV (2023)
Keyphrases
- end to end
- deep learning
- autonomous vehicles
- spatio temporal
- structured environments
- obstacle avoidance
- path planning
- unsupervised learning
- unsupervised feature learning
- image sequences
- multiagent systems
- robot control
- machine learning
- congestion control
- mobile robot
- mental models
- moving objects
- weakly supervised
- complex environments
- higher order
- video sequences
- real time