Author

Abbas Sadat

Observed name: Sadat, Abbas

Observed institutions: Simon Fraser University, University of Toronto

OpenAlex ID: A5050973345

End-To-End Interpretable Neural Motion Planner

2019 · Wenyuan Zeng, Wenjie Luo, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 401

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MP3: A Unified Model to Map, Perceive, Predict and Plan

2021 · Sergio Casas, Abbas Sadat, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 228

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AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

2021 · Jingkang Wang, Ava Pun, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 195

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Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

2020 · Abbas Sadat, Sergio Casas, et al. · Lecture notes in computer science · 183

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Evaluation of the Intel® Core™ i7 Turbo Boost feature

2009 · James Charles, Preet Jassi, et al. · IEEE International Symposium on Workload Characterization · 138

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving

2021 · Alexander Cui, Sergio Casas, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 123

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Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles

2019 · Abbas Sadat, Mengye Ren, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 87

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Deep Multi-Task Learning for Joint Localization, Perception, and Prediction

2021 · John Phillips, Julieta Martinez, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 49

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Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

2020 · Kelvin Wong, Qiang Zhang, et al. · Lecture notes in computer science · 22

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Diverse Complexity Measures for Dataset Curation in Self-Driving

2021 · Abbas Sadat, Sean Segal, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 13

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QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving

2024 · Sourav Biswas, Sergio Casas, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 9

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AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

2021 · Wang, Jingkang, Pun, Ava, et al. · arXiv (Cornell University) · 9