Workshop
Machine Learning for Autonomous Driving
Jiachen Li · Nigamaa Nayakanti · Xinshuo Weng · Daniel Omeiza · Ali Baheri · German Ros · Rowan McAllister
Theater B
Sat 3 Dec, 6:20 a.m. PST
Welcome to the NeurIPS 2022 Workshop on Machine Learning for Autonomous Driving!
Autonomous vehicles (AVs) offer a rich source of high-impact research problems for the machine learning (ML) community; including perception, state estimation, probabilistic modeling, time series forecasting, gesture recognition, robustness guarantees, real-time constraints, user-machine communication, multi-agent planning, and intelligent infrastructure. Further, the interaction between ML subfields towards a common goal of autonomous driving can catalyze interesting inter-field discussions that spark new avenues of research, which this workshop aims to promote. As an application of ML, autonomous driving has the potential to greatly improve society by reducing road accidents, giving independence to those unable to drive, and even inspiring younger generations with tangible examples of ML-based technology clearly visible on local streets. All are welcome to attend! This will be the 7th NeurIPS workshop in this series. Previous workshops in 2016, 2017, 2018, 2019, 2020, and 2021 enjoyed wide participation from both academia and industry.
Schedule
Sat 6:20 a.m. - 6:30 a.m.
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Welcome
(
Opening Remarks
)
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SlidesLive Video |
🔗 |
Sat 6:30 a.m. - 7:05 a.m.
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Vision-centric Autonomous Driving: from Perception to Prediction
(
Talk
)
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SlidesLive Video |
Hang Zhao 🔗 |
Sat 7:05 a.m. - 7:40 a.m.
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Toward Generalizable Embodied AI for Autonomous Driving
(
Talk
)
>
SlidesLive Video |
Bolei Zhou 🔗 |
Sat 7:40 a.m. - 8:10 a.m.
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Paper Spotlight Talks
(
Talk
)
>
SlidesLive Video |
🔗 |
Sat 8:10 a.m. - 9:00 a.m.
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Posters and Break
(
Poster
)
>
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🔗 |
Sat 9:00 a.m. - 9:35 a.m.
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Trustworthy Machine Learning in Autonomous Driving
(
Talk
)
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SlidesLive Video |
Bo Li 🔗 |
Sat 9:45 a.m. - 10:10 a.m.
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Scenario generation for long-tail discovery
(
Talk
)
>
SlidesLive Video |
Yuning Chai 🔗 |
Sat 10:10 a.m. - 11:00 a.m.
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Lunch and Posters
(
Poster
)
>
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🔗 |
Sat 11:00 a.m. - 11:35 a.m.
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Contingency Planning with Learned Models of Behavioral and Perceptual Uncertainty
(
Talk
)
>
SlidesLive Video |
Nicholas Rhinehart 🔗 |
Sat 11:35 a.m. - 12:10 p.m.
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CausalAgents: A robustness benchmark for motion forecasting using causal relationships
(
Talk
)
>
SlidesLive Video |
Liting Sun 🔗 |
Sat 12:10 p.m. - 1:00 p.m.
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Posters and Break
(
Poster
)
>
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🔗 |
Sat 1:00 p.m. - 1:35 p.m.
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Operating Autonomous Vehicles In Different Contexts - On Roads and In Shared Spaces
(
Talk
)
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Stewart Worrall 🔗 |
Sat 1:35 p.m. - 2:55 p.m.
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CARLA Challenge
(
Talk
)
>
SlidesLive Video |
🔗 |
Sat 2:55 p.m. - 3:00 p.m.
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Closing Remarks
(
Closing Remarks
)
>
SlidesLive Video |
🔗 |
-
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Fast-BEV: Towards Real-time On-vehicle Bird’s-Eye View Perception
(
Poster
)
>
SlidesLive Video |
Bin Huang · Yangguang Li · Feng Liang · Enze Xie · Luya Wang · Mingzhu Shen · Fenggang Liu · Tianqi Wang · Ping Luo · Jing Shao 🔗 |
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A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving
(
Poster
)
>
SlidesLive Video |
Guan Wang · Haoyi Niu · desheng zhu · Jianming HU · Xianyuan Zhan · Guyue Zhou 🔗 |
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VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
(
Poster
)
>
SlidesLive Video |
Serge Assaad · Carlton Downey · Rami Al-Rfou · Nigamaa Nayakanti · Benjamin Sapp 🔗 |
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Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss
(
Poster
)
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SlidesLive Video |
Titas Chakraborty · Akshay Bhagat · Henggang Cui 🔗 |
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Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation
(
Poster
)
>
SlidesLive Video |
Hyunsu Rhee · Dongchan Min · Sunil Hwang · Bruno Andreis · Sung Ju Hwang 🔗 |
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An Intelligent Modular Real-Time Vision-Based System for Environment Perception
(
Poster
)
>
SlidesLive Video |
Amirhossein Kazerouni · Amirhossein Heydarian · Milad Soltany · Aida Mohammadshahi · Abbas Omidi · Saeed Ebadollahi 🔗 |
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ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
(
Poster
)
>
SlidesLive Video |
Yunsheng Ma · Ziran Wang 🔗 |
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PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
(
Poster
)
>
SlidesLive Video |
Aleksandr Kim · Guillem Braso · Aljosa Osep · Laura Leal-Taixé 🔗 |
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A Graph Representation for Autonomous Driving
(
Poster
)
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SlidesLive Video |
Zerong Xi · Gita Sukthankar 🔗 |
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Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
(
Poster
)
>
SlidesLive Video |
Timo Saemann · Ahmed Hammam · Andrei Bursuc · Christoph Stiller · Horst-Michael Gross 🔗 |
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CAMEL: Learning Cost-maps Made Easy for Off-road Driving
(
Poster
)
>
SlidesLive Video |
Kasi Viswanath · PB Sujit · Srikanth Saripalli 🔗 |
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DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
(
Poster
)
>
SlidesLive Video |
Peter Karkus · Boris Ivanovic · Shie Mannor · Marco Pavone 🔗 |
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Stress-Testing Point Cloud Registration on Automotive LiDAR
(
Poster
)
>
SlidesLive Video |
Amnon Drory · Raja Giryes · Shai Avidan 🔗 |
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Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
(
Poster
)
>
SlidesLive Video |
Marc Uecker · Tobias Fleck · Marcel Pflugfelder · Marius Zöllner 🔗 |
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Direct LiDAR-based object detector training from automated 2D detections
(
Poster
)
>
SlidesLive Video |
Robert McCraith · Eldar Insafutdinov · Lukas Neumann · Andrea Vedaldi 🔗 |
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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
(
Poster
)
>
SlidesLive Video |
Stefano Pini · Christian Perone · Aayush Ahuja · Ana Sofia Rufino Ferreira · Moritz Niendorf · Sergey Zagoruyko 🔗 |
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Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
(
Poster
)
>
SlidesLive Video |
Mathias Lechner · Ramin Hasani · Alexander Amini · Tsun-Hsuan Johnson Wang · Thomas Henzinger · Daniela Rus 🔗 |
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Verifiable Goal Recognition for Autonomous Driving with Occlusions
(
Poster
)
>
SlidesLive Video |
Cillian Brewitt · Massimiliano Tamborski · Stefano Albrecht 🔗 |
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PnP-Nav: Plug-and-Play Policies for Generalizable Visual Navigation Across Robots
(
Poster
)
>
SlidesLive Video |
Dhruv Shah · Ajay Sridhar · Arjun Bhorkar · Noriaki Hirose · Sergey Levine 🔗 |
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Finding Safe Zones of Markov Decision Processes Policies
(
Poster
)
>
SlidesLive Video |
Lee Cohen · Yishay Mansour · Michal Moshkovitz 🔗 |
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CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
(
Poster
)
>
SlidesLive Video |
Eesha Kumar · Yiming Zhang · Stefano Pini · Simon Stent · Ana Sofia Rufino Ferreira · Sergey Zagoruyko · Christian Perone 🔗 |
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Missing Traffic Data Imputation Using Multi-Trajectory Parameter Transferred LSTM
(
Poster
)
>
SlidesLive Video |
Jungmin Kwon · Hyunggon Park 🔗 |
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Uncertainty-aware self-training with expectation maximization basis transformation
(
Poster
)
>
SlidesLive Video |
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia 🔗 |
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Potential Energy based Mixture Model for Noisy Label Learning
(
Poster
)
>
SlidesLive Video |
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia 🔗 |
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Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator
(
Poster
)
>
SlidesLive Video |
Ho Suk · Taewoo Kim · Hyungbin Park · PAMUL YADAV · Junyong Lee · Shiho Kim 🔗 |
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PlanT: Explainable Planning Transformers via Object-Level Representations
(
Poster
)
>
SlidesLive Video |
Katrin Renz · Kashyap Chitta · Otniel-Bogdan Mercea · A. Sophia Koepke · Zeynep Akata · Andreas Geiger 🔗 |
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Multi-Modal 3D GAN for Urban Scenes
(
Poster
)
>
SlidesLive Video |
Loïck Chambon · Mickael Chen · Tuan-Hung VU · Alexandre Boulch · Andrei Bursuc · Matthieu Cord · Patrick Pérez 🔗 |
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KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
(
Poster
)
>
SlidesLive Video |
Niklas Hanselmann · Katrin Renz · Kashyap Chitta · Apratim Bhattacharyya · Andreas Geiger 🔗 |
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Enhancing System-level Safety in Autonomous Driving via Feedback Learning
(
Poster
)
>
SlidesLive Video |
Sin Yong Tan · Weisi Fan · Qisai Liu · Tichakorn Wongpiromsarn · Soumik Sarkar 🔗 |
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Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
(
Poster
)
>
SlidesLive Video |
14 presentersYiren 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 |
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VISTA: VIrtual STereo based Augmentation for Depth Estimation in Automated Driving
(
Poster
)
>
SlidesLive Video |
Bin Cheng · Kshitiz Bansal · Mehul Agarwal · Gaurav Bansal · Dinesh Bharadia 🔗 |
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Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification
(
Poster
)
>
SlidesLive Video |
Pasquale Antonante · Heath Nilsen · Luca Carlone 🔗 |
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Risk Perception in Driving Scenes
(
Poster
)
>
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Nakul Agarwal · Yi-Ting Chen 🔗 |
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Robust Trajectory Prediction against Adversarial Attacks
(
Poster
)
>
SlidesLive Video |
Yulong Cao · Danfei Xu · Xinshuo Weng · Zhuoqing Morley Mao · Anima Anandkumar · Chaowei Xiao · Marco Pavone 🔗 |
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Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View
(
Poster
)
>
SlidesLive Video |
Markus Kängsepp · Meelis Kull 🔗 |
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DriveCLIP: Zero-shot transfer for distracted driving activity understanding using CLIP
(
Poster
)
>
SlidesLive Video |
Md Zahid Hasan · Ameya Joshi · Mohammed Shaiqur Rahman · Venkatachalapathy Archana · Anuj Sharma · Chinmay Hegde · Soumik Sarkar 🔗 |
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AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
(
Poster
)
>
SlidesLive Video |
Yulong Cao · Chaowei Xiao · Anima Anandkumar · Danfei Xu · Marco Pavone 🔗 |
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One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
(
Poster
)
>
SlidesLive Video |
Zhongying CuiZhu · Francois Charette · Amin Ghafourian · Debo Shi · Matthew Cui · Anjali Krishnamachar · Iman Soltani 🔗 |
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TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
(
Poster
)
>
SlidesLive Video |
Suraj Kothawade · Saikat Ghosh · Sumit Shekhar · Yu Xiang · Rishabh Iyer 🔗 |