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Autonomous vehicle software is typically structured as a modular pipeline of individual components (e.g., perception, prediction, and planning) to help separate concerns into interpretable sub-tasks.
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Marc Deisenroth and Carl Rasmussen · 2011
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Simon Lacoste–Julien, Ferenc Huszár and Zoubin Ghahramani · 2011
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“PE 16-007” Tesla Crash Preliminary Evaluation Report, 2017
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“CARLA: An open urban driving simulator”
Alexey Dosovitskiy et al · 2017
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“Value-aware loss function for model-based reinforcement learning”
Amir-massoud Farahmand, Andre Barreto and Daniel Nikovski · 2017
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“Concrete problems for autonomous vehicle safety: advantages of Bayesian deep learning”, 2017
Rowan McAllister et al · 2017
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“Attention is all you need”
Ashish Vaswani et al · 2017
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Adam Cobb, Stephen Roberts and Yarin Gal · 2018
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Anusha Nagabandi et al · 2018
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Wilko Schwarting, Javier Alonso-Mora and Daniela Rus · 2018
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Ming-Fang Chang et al · 2019
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Jean Mercat et al · 2020
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Thomas Moerland, Joost Broekens and Catholijn Jonker · 2020
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Suraj Nair, Silvio Savarese and Chelsea Finn · 2020
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“Learning to evaluate perception models using planner-centric metrics”
Jonah Philion, Amlan Kar and Sanja Fidler · 2020
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“Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles”
Andrea Piazzoni, Jim Cherian, Martin Slavik and Justin Dauwels · 2020
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Tomasz Kuśmierczyk, Joseph Sakaya and Arto Klami · 2019
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Edouard Leurent and Jean Mercat · 2019
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NTSB · 2019
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Alex Ayoub et al · 2020
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John Houston et al · 2020
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“Objective mismatch in model-based reinforcement learning”
Nathan Lambert, Brandon Amos, Omry Yadan and Roberto Calandra · 2020
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“Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations”
Abbas Sadat et al · 2020
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“Beelines: Evaluating Motion Prediction Impact on Self-Driving Safety and Comfort”
Skanda Shridhar et al · 2020
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“Understanding and Improving Information Transfer in Multi-Task Learning”
Sen Wu, Hongyang. Zhang and Christopher Ré · 2020
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“Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset”
Scott Ettinger et al · 2021
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“Rethinking Trajectory Forecasting Evaluation”
Boris Ivanovic and Marco Pavone · 2021
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“Pragmatic Image Compression for Human-in-the-Loop Decision-Making”
Siddharth Reddy, Anca Dragan and Sergey Levine · 2021
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“All-In-One Drive: A Comprehensive Perception Dataset with High-Density Long-Range Point Clouds”, 2021
Xinshuo Weng et al · 2021
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