Completed
Intro
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Learning Steering for Parallel Autonomy
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Motivation
- 3 Autonomous Driving Pipeline
- 4 End-to-End Learning
- 5 Challenges
- 6 Talk Outline
- 7 Guardian Angel
- 8 Parallel Autonomy:Architecture
- 9 Parallel Autonomy: Hardware
- 10 Shared # Binary Control
- 11 Possible Approaches
- 12 Autonomous Modes
- 13 Related Work End-co-End Learning
- 14 Learning a Steering Distribution
- 15 Discrete Action Learning
- 16 Multimodal Distributions
- 17 Advantages of this approach
- 18 Dataset Collection
- 19 Discrete to Continuous
- 20 Variational Bayes Mixture Models
- 21 Bounds for Parallel Autonomy
- 22 Why Care About Uncertainty?
- 23 Bayesian Deep Learning
- 24 End to End Steering Control
- 25 Integrating Uncertainty Estimation
- 26 A Bayesian Outlook on End to End Control
- 27 Elementwise Dropout for Uncertainty
- 28 Spatial Dropout for Uncertainty
- 29 Training Results
- 30 Summary
