Abbas Sadat

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

• QuAD: 自動運転のためのクエリベース解釈可能なニューラル動作計画
  動作計画2024/4/1

  計画器が必要な時空間領域のみに占有クエリを発行し、候補軌道を衝突回避・快適性・進捗で評価する統合的な自動運転フレームワークを提案。高忠実度閉ループシミュレーションで高速道路運転品質が最先端を上回る。

• AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
  2021/1/1
• LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
  2021/1/1
• Diverse Complexity Measures for Dataset Curation in Self-driving
  2021/1/1
• End-to-end Interpretable Neural Motion Planner
  2021/1/1
• MP3: A Unified Model to Map, Perceive, Predict and Plan
  2021/1/1
• Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
  2021/1/1
• Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
  2020/11/1
• Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
  2020/8/1
• Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
  2020/8/1
• Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles
  2019/10/1