SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory
Prediction in Autonomous Driving

SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving

16 September 2023

Jonathan M Francis

Jean Oh

Papers citing "SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving"

6 / 6 papers shown

Title
An Automated Analysis Framework for Trajectory Datasets C. Glasmacher R. Krajewski L. Eckstein AI4TS 19 4 0 12 Feb 2022
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review Xinhai Zhang Jianbo Tao Kaige Tan Martin Törngren José Manuel Gaspar Sánchez ... Magnus Gyllenhammar F. Wotawa N. Mohan Mihai Nica Hermann Felbinger 27 37 0 16 Oct 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision Bingqing Chen Jonathan M Francis Jean Oh Eric Nyberg Sylvia L. Herbert 39 14 0 14 Oct 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 129 528 0 20 Apr 2021
Diverse Complexity Measures for Dataset Curation in Self-driving Abbas Sadat Sean Segal Sergio Casas James Tu Binh Yang R. Urtasun Ersin Yumer 37 13 0 16 Jan 2021
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 113 117 0 06 Mar 2020