Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

26 June 2020

Papers citing "Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?"

50 / 63 papers shown

Title
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 192 1 0 29 Jan 2025
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners Niklas Hanselmann Simon Doll Marius Cordts Hendrik P. A. Lensch Andreas Geiger 44 0 0 12 Nov 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 48 5 0 04 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 43 1 0 25 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation Benjamin Stoler Ingrid Navarro Jonathan M Francis Jean Oh AAML 60 4 0 16 Sep 2024
Transfer Learning Study of Motion Transformer-based Trajectory Predictions Lars Ullrich Alex McMaster Knut Graichen 40 3 0 12 Apr 2024
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 28 1 0 23 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 22 4 0 10 Nov 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 20 6 0 27 Oct 2023
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning Pedram Agand Mohammad Mahdavian Manolis Savva Mo Chen ViT 29 4 0 19 Oct 2023
Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction Hwan-Soo Choi Jong-Lyul Jeong Young Cho Kuk-Jin Yoon Jong-hwan Kim 28 1 0 04 Aug 2023
Robust Data-driven Prescriptiveness Optimization Mehran Poursoltani Erick Delage A. Georghiou OffRL 14 1 0 09 Jun 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving Hongkuan Zhou Aifen Sui Letian Shi Yinxian Li 27 2 0 21 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 40 11 0 02 Mar 2023
(Re) $^2$ H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Kun Ren Yi Tian Xu Ziyuan Yang Yi-Hsin Lin Yan Zhang Jianming Hu OffRL 21 9 0 27 Feb 2023
ADAPT: Action-aware Driving Caption Transformer Bu Jin Xinyi Liu Yupeng Zheng Pengfei Li Hao Zhao Tong Zhang Yuhang Zheng Guyue Zhou Jingjing Liu 33 69 0 01 Feb 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 41 23 0 28 Dec 2022
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 32 2 0 21 Dec 2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 32 5 0 16 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 25 31 0 05 Dec 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 26 0 16 Nov 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 29 14 0 06 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 25 4 0 26 Sep 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 33 4 0 09 Aug 2022
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer Hao Shao Letian Wang Ruobing Chen Hongsheng Li Y. Liu 47 196 0 28 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 30 28 0 30 Jun 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 24 0 26 Jun 2022
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards Saurabh Jha Shengkun Cui Zbigniew T. Kalbarczyk R. Iyer LLMSV 24 1 0 02 Jun 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models Marvin Klingner Konstantin Müller Mona Mirzaie Jasmin Breitenstein Jan-Aike Termöhlen Tim Fingscheidt 25 4 0 01 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 104 295 0 31 May 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann Katrin Renz Kashyap Chitta Apratim Bhattacharyya Andreas Geiger 29 87 0 28 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 30 1 0 13 Apr 2022
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent Oskar Natan J. Miura 28 35 0 12 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 45 12 0 06 Apr 2022
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles Aboli Rajan Marathe Rahee Walambe K. Kotecha 15 7 0 03 Apr 2022
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles Morris Antonello M. Dobre Stefano V. Albrecht John Redford S. Ramamoorthy 3DV 40 10 0 15 Mar 2022
Learning for Robot Decision Making under Distribution Shift: A Survey Abhishek Paudel OOD OffRL 41 5 0 14 Mar 2022
Inter-Semantic Domain Adversarial in Histopathological Images Nicolas Dumas V. Derangère L. Arnould S. Ladoire Louis-Oscar Morel Nathan Vinçon OOD MedIm 33 0 0 22 Jan 2022
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation J. Wong Albert Tung Andrey Kurenkov Ajay Mandlekar Li Fei-Fei Silvio Savarese Roberto Martín-Martín 26 54 0 09 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 44 7 0 08 Dec 2021
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 21 12 0 07 Dec 2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia Masayoshi Tomizuka Wei Zhan OOD 40 25 0 03 Dec 2021
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction Ching-Yu Tseng Po-Shao Lin Yu-Jia Liou Kuan-Chih Huang Winston H. Hsu 3DPC OOD 21 1 0 02 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 456 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 151 0 18 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 19 21 0 09 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving Saurabh Jha Yanjun Miao Zbigniew T. Kalbarczyk R. Iyer 39 0 0 19 Oct 2021