Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach.
Shun YangWenshuo WangChang LiuKevin DengJ. Karl HedrickPublished in: CoRR (2017)
Keyphrases
- end to end
- deep learning
- feature analysis
- autonomous vehicles
- deep architectures
- path planning
- unsupervised learning
- machine learning
- real time
- mental models
- congestion control
- obstacle avoidance
- control system
- weakly supervised
- training set
- feature extraction
- closed loop
- control algorithm
- autonomous agents
- multiagent systems
- face recognition
- control strategy
- fuzzy controller
- multiscale
- robot control
- supervised learning
- knn