End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies.
Hesham M. EraqiMohamed N. MoustafaJens HonerPublished in: CoRR (2017)
Keyphrases
- deep learning
- end to end
- autonomous vehicles
- temporal dependencies
- spatial and temporal
- path planning
- obstacle avoidance
- unsupervised learning
- machine learning
- temporal information
- temporal relationships
- autonomous agents
- multiagent systems
- robot control
- temporal patterns
- rule mining
- mobile robot
- weakly supervised
- sequential data
- mental models
- spatio temporal
- real time
- supervised learning
- video frames
- dynamic environments