Peter Ondruska

収録論文 11本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies
  2021/9/1
• Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
  2021/9/1
• Autonomy 2.0: Why is self-driving always 5 years away?
  2021/7/1
• SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
  2021/5/1
• What data do we need for training an AV motion planner?
  2021/5/1
• Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps
  2020/11/1
• One Thousand and One Hours: Self-driving Motion Prediction Dataset
  2020/6/1
• VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments
  2020/6/1
• Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks
  2016/9/1
• End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
  2016/4/1
• Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
  2016/2/1