Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving

Jonathan Francis, Bingqing Chen, Weiran Yao, Eric Nyberg, Jean Oh

[Paper] [Video]

On the Robustness of Safe Reinforcement Learning under Observational Perturbations

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

[Paper] [Video]

Constrained Model-based Reinforcement Learning via Robust Planning

Zuxin Liu, Zijian Guo, Ding Zhao

[Paper] [Video]

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving

Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang

[Paper] [Video]

MPC-based Imitation Learning for Safe and Human-like Autonomous Driving

Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Son Tong

[Paper] [Poster] [Video]

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

Hanjiang Hu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Shuai Wang, Jiarun Wei, Baoquan Yang, Zhijian Qiao, Hesheng Wang, Ding Zhao

[Paper] [Poster] [Video]

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger

[Paper] [Poster] [Video]

A Reinforcement Learning Attention Agent for Lidar-based 3D Object Detector

Shuqing Zeng, Jordan Chipka, Yasen Hu

[Paper] [Poster] [Video]

Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging

Soumith Udatha and John M Dolan

[Paper] [Poster] [Video]

Improving Autonomous Driving Policy Generalization via Neural Network Over-Parameterization

Hemanth Manjunatha, Andrey Pak, Panagiotis Tsiotras

[Paper] [Poster] [Video]

BiPOCO: Bi-directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection

Asiegbu M Kanu-Asiegbu, Xiaoxiao Du, Ram Vasudevan

[Paper] [Poster] [Video]

CausalAF: Causal Autoregressive Flow for Safety-Critical Scenes Generation

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

[Paper] [Poster] [Video]

Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space

Shivansh Beohar, Rahul Kala, Fabian Heinrich, Helge Ritter, Andrew Melnik

[Paper] [Poster] [Video]

From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets

Ross E Greer and Mohan Trivedi

[Paper] [Poster] [Video]

The Edge of Disaster: A Battle Between Autonomous Racing and Safety

Matthew R Howe, James P Bockman, Adrian Orenstein, Stefan Podgorski, Sam Bahrami, Ian Reid

[Paper] [Poster] [Video]

Vision in Adverse Weather: Augmentation Using CycleGANs with Various Object Detectors for Robust Perception in Autonomous Racing

Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley

[Paper] [Poster] [Video]

Towards Long Tailed 3D Detection: Multi-Modality is the Remedy

Neehar Peri, Achal D Dave, Shu Kong, Deva Ramanan

[Paper] [Poster] [Video]

Few-Shot Style Transfer for Deep Motion Forecasting

Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi

[Paper] [Poster] [Video]

Self-Paced Policy Optimization with Safety Constraints

Fan Yang, Wenxuan Zhou, Harshit Sikchi, David Held

[Paper] [Poster] [Video]

Multimodal Unsupervised Car Segmentation via Adaptive Aerial Image-to-Image Translation

Hanjiang Hu, Haohong Lin, Peide Huang, Zhepeng Cen

[Paper] [Poster] [Video]

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing

Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Jean Oh, Eric Nyberg

[Paper]