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Workshop

Machine Learning for Autonomous Driving

Jiachen Li ⋅ Nigamaa Nayakanti ⋅ Xinshuo Weng ⋅ Daniel Omeiza ⋅ Ali Baheri ⋅ German Ros ⋅ Rowan McAllister
Project Page [ Contact: ml4ad2022@googlegroups.com ]

Abstract

Video

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Schedule

Timezone: America/Los_Angeles
6:20 AM
Welcome
1:35 PM
CARLA Challenge
2:55 PM
Closing Remarks
Fast-BEV: Towards Real-time On-vehicle Bird’s-Eye View Perception
Bin Huang ⋅ Yangguang Li ⋅ Feng Liang ⋅ Enze Xie ⋅ Luya Wang ⋅ Mingzhu Shen ⋅ Fenggang Liu ⋅ Tianqi Wang ⋅ Ping Luo ⋅ Jing Shao
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving
Guan Wang ⋅ Haoyi Niu ⋅ desheng zhu ⋅ Jianming HU ⋅ Xianyuan Zhan ⋅ Guyue Zhou
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
Serge Assaad ⋅ Carlton Downey ⋅ Rami Al-Rfou ⋅ Nigamaa Nayakanti ⋅ Benjamin Sapp
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation
Hyunsu Rhee ⋅ Dongchan Min ⋅ Sunil Hwang ⋅ Bruno Andreis ⋅ Sung Ju Hwang
An Intelligent Modular Real-Time Vision-Based System for Environment Perception
Amirhossein Kazerouni ⋅ Amirhossein Heydarian ⋅ Milad Soltany ⋅ Aida Mohammadshahi ⋅ Abbas Omidi ⋅ Saeed Ebadollahi
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Aleksandr Kim ⋅ Guillem Braso ⋅ Aljosa Osep ⋅ Laura Leal-Taixé
A Graph Representation for Autonomous Driving
Zerong Xi ⋅ Gita Sukthankar
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Saemann ⋅ Ahmed Hammam ⋅ Andrei Bursuc ⋅ Christoph Stiller ⋅ Horst-Michael Gross
CAMEL: Learning Cost-maps Made Easy for Off-road Driving
Kasi Viswanath ⋅ PB Sujit ⋅ Srikanth Saripalli
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus ⋅ Boris Ivanovic ⋅ Shie Mannor ⋅ Marco Pavone
Stress-Testing Point Cloud Registration on Automotive LiDAR
Amnon Drory ⋅ Raja Giryes ⋅ Shai Avidan
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Marc Uecker ⋅ Tobias Fleck ⋅ Marcel Pflugfelder ⋅ Marius Zöllner
Direct LiDAR-based object detector training from automated 2D detections
Robert McCraith ⋅ Eldar Insafutdinov ⋅ Lukas Neumann ⋅ Andrea Vedaldi
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
Stefano Pini ⋅ Christian Perone ⋅ Aayush Ahuja ⋅ Ana Sofia Rufino Ferreira ⋅ Moritz Niendorf ⋅ Sergey Zagoruyko
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
Mathias Lechner ⋅ Ramin Hasani ⋅ Alexander Amini ⋅ Tsun-Hsuan Johnson Wang ⋅ Thomas Henzinger ⋅ Daniela Rus
Verifiable Goal Recognition for Autonomous Driving with Occlusions
Cillian Brewitt ⋅ Massimiliano Tamborski ⋅ Stefano Albrecht
PnP-Nav: Plug-and-Play Policies for Generalizable Visual Navigation Across Robots
Dhruv Shah ⋅ Ajay Sridhar ⋅ Arjun Bhorkar ⋅ Noriaki Hirose ⋅ Sergey Levine
Finding Safe Zones of Markov Decision Processes Policies
Lee Cohen ⋅ Yishay Mansour ⋅ Michal Moshkovitz
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
Eesha Kumar ⋅ Yiming Zhang ⋅ Stefano Pini ⋅ Simon Stent ⋅ Ana Sofia Rufino Ferreira ⋅ Sergey Zagoruyko ⋅ Christian Perone
Uncertainty-aware self-training with expectation maximization basis transformation
Zijia Wang ⋅ Wenbin Yang ⋅ Zhi-Song Liu ⋅ Zhen Jia
Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang ⋅ Wenbin Yang ⋅ Zhi-Song Liu ⋅ Zhen Jia
Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator
Ho Suk ⋅ Taewoo Kim ⋅ Hyungbin Park ⋅ PAMUL YADAV ⋅ Junyong Lee ⋅ Shiho Kim
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz ⋅ Kashyap Chitta ⋅ Otniel-Bogdan Mercea ⋅ A. Sophia Koepke ⋅ Zeynep Akata ⋅ Andreas Geiger
Multi-Modal 3D GAN for Urban Scenes
Loïck Chambon ⋅ Mickael Chen ⋅ Tuan-Hung VU ⋅ Alexandre Boulch ⋅ Andrei Bursuc ⋅ Matthieu Cord ⋅ Patrick Pérez
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Niklas Hanselmann ⋅ Katrin Renz ⋅ Kashyap Chitta ⋅ Apratim Bhattacharyya ⋅ Andreas Geiger
Enhancing System-level Safety in Autonomous Driving via Feedback Learning
Sin Yong Tan ⋅ Weisi Fan ⋅ Qisai Liu ⋅ Tichakorn Wongpiromsarn ⋅ Soumik Sarkar
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu ⋅ Yiren Lu ⋅ Yiren Lu ⋅ Justin Fu ⋅ George Tucker ⋅ Xinlei Pan ⋅ Eli Bronstein ⋅ Rebecca Roelofs ⋅ Benjamin Sapp ⋅ Brandyn White ⋅ Aleksandra Faust ⋅ Shimon Whiteson ⋅ Dragomir Anguelov ⋅ Sergey Levine
VISTA: VIrtual STereo based Augmentation for Depth Estimation in Automated Driving
Bin Cheng ⋅ Kshitiz Bansal ⋅ Mehul Agarwal ⋅ Gaurav Bansal ⋅ Dinesh Bharadia
Risk Perception in Driving Scenes
Nakul Agarwal ⋅ Yi-Ting Chen
Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao ⋅ Danfei Xu ⋅ Xinshuo Weng ⋅ Zhuoqing Morley Mao ⋅ Anima Anandkumar ⋅ Chaowei Xiao ⋅ Marco Pavone
DriveCLIP: Zero-shot transfer for distracted driving activity understanding using CLIP
Md Zahid Hasan ⋅ Ameya Joshi ⋅ Mohammed Shaiqur Rahman ⋅ Venkatachalapathy Archana ⋅ Anuj Sharma ⋅ Chinmay Hegde ⋅ Soumik Sarkar
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao ⋅ Chaowei Xiao ⋅ Anima Anandkumar ⋅ Danfei Xu ⋅ Marco Pavone
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
Zhongying CuiZhu ⋅ Francois Charette ⋅ Amin Ghafourian ⋅ Debo Shi ⋅ Matthew Cui ⋅ Anjali Krishnamachar ⋅ Iman Soltani
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Suraj Kothawade ⋅ Saikat Ghosh ⋅ Sumit Shekhar ⋅ Yu Xiang ⋅ Rishabh Iyer