Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach.
Shun YangWenshuo WangChang LiuWeiwen DengJ. Karl HedrickPublished in: Intelligent Vehicles Symposium (2017)
Keyphrases
- end to end
- deep learning
- feature analysis
- autonomous vehicles
- deep architectures
- unsupervised learning
- path planning
- real time
- machine learning
- control system
- congestion control
- training set
- face recognition
- robot control
- weakly supervised
- neural network
- mental models
- control strategy
- feature extraction
- obstacle avoidance
- control algorithm
- pid controller
- fuzzy controller
- control scheme
- control method
- data points
- pattern recognition