[CVPR22 WAD] Keynote - Ashok Elluswamy, Tesla WAD at CVPR 2026-09-20 | [CVPR22 WAD] Keynote - Ashok Elluswamy, Tesla
[CVPR26 WAD] Keynote - Vincent Vanhoucke, Waymo WAD at CVPR 2026-09-03 | "Lessons from Driving 200 Million Fully Autonomous Miles"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro03:00 Lesson 1: Scaling as a game of 9s08:47 Lesson 2: Maps are an extremely powerful sensor12:27 Lesson 3: Scaling is the law13:35 Lesson 4: Rare events are merely not frequent yet18:17 Lesson 5: Building a scalable critic is essential20:26 The Waymo Flywheel22:35 Conclusion
[CVPR26 WAD] Keynote - Alexandre Alahi, EPFL WAD at CVPR 2026-09-03 | "3 Principles for Building World Models"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro01:51 Video World Models03:22 Current Challenges04:12 Motion Appearance Decoupling07:52 Infinite-Length Video Generation11:22 LayerSync15:09 SenCache20:09 Limitations and Future Directions
[CVPR26 WAD] Keynote - Holger Caesar, TU Delft WAD at CVPR 2026-09-03 | "Autonomous Driving at the Crossroads"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro01:06 The optimistic view08:24 The pessimistic view23:28 New Datasets and Applications26:40 Conclusion
[CVPR26 WAD] Keynote - Sanja Fidler, NVIDIA WAD at CVPR 2026-09-03 | "Advancing Autonomous Vehicles with World Models"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro01:04 Evolution of Simulation06:28 Simulation 2.0: Neural Reconstruction09:55 Simulation 3.0: Generative World Models11:26 Real-Time World Model (OmniDreams)21:30 OmniDreams Results24:10 OmniDreams as a World-Action Model
[CVPR26 WAD] Keynote - Alex Kendall, Wayve WAD at CVPR 2026-09-03 | "Frontier Challenges in Bringing AI to 1B Robots"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro01:55 Can Autonomy Generalize?05:19 End-to-End AI for Driving09:47 Generative AI for Autonomy12:45 Could we learn to drive in a World Model?14:50 End-to-End should extend to Safety and Simulation too19:07 Platform will reach greater scale than vertically integrated autonomy23:15 Cost matters27:29 Wayve Labs29:24 Conclusion
[CVPR26] Keynote - Shai Shalev-Shwartz, Mobileye WAD at CVPR 2026-09-03 | "Driving the Long Tail: Efficient Scaling via Automatic Scenario Discovery"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro: The Bitter Lesson01:15 Scaling has Diminishing Returns03:38 A Hay in a Haystack07:55 Toward Efficient Scaling: AdaBoost12:30 Scenario Boosting16:15 Scenario Boosting as a Game18:47 Building the Meteor Agent21:05 The Meteor Agent in Action25:51 Conclusion
[CVPR26] Keynote - Ashok Elluswamy, Tesla WAD at CVPR 2026-09-03 | "Building Foundational Models for Robotics at Tesla"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro01:14 Tesla Self-Driving06:35 End-to-end Foundation Model for all of Robotics07:45 The Case for and Challenges in E2E driving11:09 Challenge 1: Curse of Dimensionality15:55 Challenge 2: Interpretability and Safety18:06 Challenge 3: Evaluation21:58 Conclusion
[CVPR26] Keynote - Raquel Urtasun, Waabi WAD at CVPR 2026-09-03 | "Reimagining the Physical World with AI"Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro01:10 Design Characteristics of Autonomous Systems02:57 Evolution of Self-Driving07:30 "Next Gen" AV2.011:47 Waabi World16:00 Digital Twinning19:10 The Rise of Generative Models21:18 How can we prove safety?28:06 Conclusion
[CVPR26] Challenge - Argoverse WAD at CVPR 2026-09-03 | Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.00:00 Intro: What is Argoverse01:45 (Un)supervised Scene Flow07:07 Scene Flow Challenge Winners10:13 Scenario Mining14:20 Scenario Mining Challenge Winners22:00 Future Directions
[CVPR25 WAD] Keynote - Hongyang Li, The University of Hong Kong WAD at CVPR 2025-09-08 | "End-to-end Autonomous Driving: Past, Current and Onwards"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction00:56 End-to-End Autonomous Driving05:07 Development Stack of Driving Models08:00 World Engine (E2E Driving 2.0)10:28 Nexus: Decoupled Diffusion Sparks Adaptive Scene Generation14:26 MTGS: Multi-Traversal Gaussian Splatting17:07 NAVSim v2: Pseudo-Simulation for Autonomous Driving21:04 Key Challenge: Scalable RL24:18 Takeaways
[CVPR25 WAD] Keynote - Wolfram Burgard, University of Technology Nuremberg WAD at CVPR 2025-09-08 | "Probabilistic and Deep Learning Approaches for Mobile Robotics and Automated Driving"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction00:48 Trends in AI-based Robotics01:58 Trend 1: Probabilistic Robotics09:53 Trend 2: Deep Networks12:47 Uncertainty-Aware Panoptic Segmentation (EvPSNet)14:54 Uncertainty-Aware LiDAR Panoptic Segmentation (EvLPSNet)16:25 uPLAM: Robust Panoptic Localization & Mapping19:00 Do We Really Need Maps?21:04 Trend 3: Foundation Models22:13 Visual Language Maps for Robot Navigation24:03 FM-Loc: Using Foundation Models for Vision-Based Navigation29:26 Outlook
[CVPR25] Keynote - Laura Leal Taixe, NVIDIA WAD at CVPR 2025-09-08 | "Repurposing Generative Models for 3D Data"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction01:46 NVIDIA Cosmos Foundation Model04:32 LiDAR Representation05:11 LiDAR Tokenization08:12 Conditions for LiDAR Generation12:31 Joint Modeling of LiDAR & RGB16:25 Final Thoughts
[CVPR25] Keynote - Deva Ramanan, CMU WAD at CVPR 2025-09-08 | "Perception and Simulation for Self-Driving Vehicles"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction01:12 Section 1: Deep Dive into NuPlan & Planning Metrics04:06 Reactive Agents07:10 State-of-the-Art on NuPlan08:03 Adopting to City-Specific Behavior15:55 Motion Understanding19:03 Utilizing Pseudo-Labels24:02 Scenario Mining26:42 CVPR Scenario Mining Challenge27:29 Conclusion
[CVPR25] Challenge - Argoverse WAD at CVPR 2025-09-08 | Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction00:35 What is Argoverse (2)?02:36 Challenge 1: (Un)supervised Scene Flow05:50 Scene Flow Leaderboard06:23 Winning Method (Delta Flow)08:46 Highlighted Method (Floxels)10:12 Challenge 2: Scenario Mining17:32 Scenario Mining Leaderboard21:03 Challenge 3: Multi-Agent Forecasting22:50 Multi-Agent Forecasting Leaderboard23:56 Future Directions
[CVPR25] Keynote - Wei Zhan, Applied Intuition WAD at CVPR 2025-09-08 | "Scalable Neural Simulation for Autonomy"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction00:25 Scalable Simulation for E2E Stacks02:28 Gaussian Splatting03:08 DeSiRe-GS: 4D Street Gaussians06:18 Incomplete Objects from 3DGS07:28 R3D2: Realistic 3D Asset Insertion via Diffusion11:36 X-Drive: Cross-Modality Multi-Sensor Data Synthesis15:30 Feed-Forward 3DGS & DrivingRecon18:40 PixelGaussian: Generalizable Gaussian from Arbitrary Views20:00 Onboard and Offboard Models21:26 S2GO: Streaming Sparse Gaussian Occupancy Prediction26:12 Neural Simulator27:25 Conclusion
[CVPR25] Challenge - Nexar WAD at CVPR 2025-09-08 | Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction00:44 About Nexar02:54 Nexar Open Dataset06:02 Nexar Crash Prediction Challenge09:12 Leaderboard11:22 1st Place12:19 2nd Place13:18 3rd Place15:55 Examples of Difficult Cases17:10 Where Next?18:12 Key Takeaways
[CVPR25] Keynote - Chen Wu, Waymo WAD at CVPR 2025-09-08 | "Solving Real-World Challenges of Large-Scale AV Deployment"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction01:48 Waymo One Service03:30 Challenging Driving Examples04:28 Waymo's Safety Record05:54 The Waymo Foundation Model07:53 Adverse Weather12:47 Sensor Fusion14:22 Occlusion Reasoning19:32 Scene Understanding23:00 Data24:30 Depots - Enabling Operational Excellence25:57 Fast Real-Time Decisions
[CVPR25] Keynote - Xianming Liu, XPeng WAD at CVPR 2025-09-08 | "Scaling up Autonomous Driving via Large Foundation Models"Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction00:40 XPeng's Driving Assistance System02:26 Capabilities in Mass Production03:56 SW 3.0 AI Factory06:45 Foundation Model10:40 Alignment & CoT15:22 Supervised Finetuning (SFT)17:30 Reinforcement Learning19:35 Summary21:23 Additional Demos
[CVPR25] Challenge - Waymo Open Dataset WAD at CVPR 2025-09-08 | Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.00:00 Introduction01:25 Datasets and Benchmark Overview03:28 2025 Challenges04:43 End-to-End Driving Challenge06:30 New Waymo Dataset of Rare Events09:22 End-to-End Driving Challenge Winners10:08 1st Place: Poutine21:50 Perception Dataset22:41 Motion Dataset23:36 Interaction Prediction Challenge26:19 Interaction Prediction Challenge Winners27:20 1st Place: Parallel ModeSeq32:00 Sim Agents Challenge34:32 Sim Agents Challenge Winners35:05 1st Place: TrajTok40:05 Waymax Update40:30 Scenario Generation Challenge42:07 Scenario Generation Challenge Winners42:50 1st Place: SimFormer49:42 Conclusion
[CVPR25] Workshop on Autonomous Driving (Full Day) WAD at CVPR 2025-09-08 | https://cvpr2025.wad.vision/00:00 Hongyang Li: End-to-end Autonomous Driving: Past, Current and Onwards25:50 Wolfram Burgard: Probabilistic and Deep Learning Approaches for Automated Driving56:00 Laura Leal-Taixe: Repurposing Generative Models for 3D Data01:13:43 Deva Ramanan: Perception and Simulation for Self-Driving Vehicles01:42:26 Argoverse Challenges02:07:13 Wei Zhan: Scalable Neural Simulation for Autonomy02:35:40 Nexar Challenges02:54:52 Chen Wu: Solving Real-World Challenges of Large-Scale AV Deployment03:22:24 Waymo Open Dataset Challenges04:12:53 Xianming Liu: Scaling up Autonomous Driving via Large Foundation Models
[CVPR24 WAD] Keynote - Sanja Fidler, NVIDIA WAD at CVPR 2024-09-12 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction01:43 AV Stack Evolution03:43 NVIDIA's Generative AI & Drive Thor05:11 Today's Talk05:41 Foundation Models in Data Tools06:47 Visual Retrieval07:55 Semantic Scenario Clustering08:54 Foundation Model powered AV Stack (AVFM)10:40 PARA-Drive11:10 Hydra-MDP11:41 Trajeglish12:21 Video Generation13:53 Video Modeling16:31 Video Tokenization17:48 Open-Loop Trajectory Prediction18:54 Simulation20:15 Physics, Dynamics and Editing22:00 Closed-Loop Testing23:34 Object Insertion and Handling Large Scenes25:05 Scene Generation25:56 fVDB Release27:28 Conclusion
[CVPR24 WAD] Challenge - Waymo Open Dataset WAD at CVPR 2024-09-12 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction02:30 Perception Dataset04:30 Motion Dataset06:22 Benchmarks07:25 Waymax Simulator Release09:18 2024 Challenge Overview10:47 Motion Prediction Challenge15:07 1st Place: MTR v320:12 Occupancy and Flow Challenge23:20 1st Place: DOPP25:11 2nd Place: STNet27:45 3rd Place: HGNET29:57 Sim Agents Challenge33:57 1st Place: BehaviorGPT38:40 Unranked: MPS42:42 3D Semantic Segmentation Challenge45:28 1st Place: Point Transformer V349:51 Conclusion
[CVPR24 WAD] Keynote - Congcong Li, Waymo WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction01:52 Waymo's Experience and Service Areas03:26 Driving Examples05:30 Construction, Emergency Vehicles and Freeways09:25 Waymo's Safety Record10:34 Rare Event Examples11:21 Long-Tail Handling12:48 LLM/VLM Reasoning14:13 Open-Vocabulary Perception using VL Distillation19:20 MotionLM: Modeling Driving as a Conversation23:10 MoST: Scene Tokenization for Motion Prediction29:25 Open Questions in the LLM/VLM Space31:25 Waymo Rider Experience32:17 Conclusion
[CVPR24 WAD] Challenge - Argoverse WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction00:49 What is Argoverse (2)01:15 Sensor Dataset01:55 LiDAR Dataset02:24 Motion Forecasting Dataset02:55 Map Change Dataset03:57 Argoverse post-Argo05:07 (Un)supervised Scene Flow Challenge18:27 End-to-End Forecasting Challenge32:22 Multi-Agent Motion Forecasting Challenge41:56 4D Occupancy Forecasting Challenge53:32 Conclusion
[CVPR24 WAD] Keynote - Nick Roy, Zoox WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction00:59 Autonomy Architectures03:25 Structured Optimization vs E2E Learned Policies06:38 Hybrid Architecture08:34 Early Sensor Fusion11:03 Learned Depth Completion12:45 Handling Debris15:33 The IID Assumption is Brittle16:37 OOD Detection20:06 OOD Detection using Foundation Model Embeddings23:30 Domain Knowledge Helps Create Data25:06 Directed Scenario Generation 28:41 JAX-Accelerated Reinforcement Learning30:30 Symbol Grounding & Conclusion
[CVPR24 WAD] Keynote - Alex Kendall, Wayve WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction01:07 The Road to Embodied AI01:57 From Vision to Action03:43 AV2.0: An End-to-End System04:57 Promises of End-to-End Systems06:18 Focus Areas to Create Embodied AI06:53 Focus Area: Simulation08:36 Ghost Gym: Neural Simulator09:28 Introducing PRISM-112:09 Launching WayveScenes10114:07 GAIA: Generative World Model18:13 Focus Area: Multimodality19:27 LINGO-1: Offline Video QA21:21 LINGO-2: Grounded Vision-Language-Action Model24:32 AV2.0 Reimagining the Driving Experience25:30 Focus Area: Engineering to Product28:00 Embodied AI Foundation Models31:38 Safety by Design33:05 Conclusion
[CVPR24 WAD] Keynote - Bolei Zhou, UCLA WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction00:52 The Gap between Industry and Academia02:02 Driving Datasets02:51 Driving Simulators04:41 The MetaDrive Simulator07:26 ScenarioNet11:29 TrafficGen13:30 Closed-Loop Adversarial Training (CAT)16:18 SimGen Driving Scene Generation21:04 Mobility Anywhere22:55 MetaUrban Simulator25:35 Conclusion
[CVPR24 WAD] Keynote - Kashyap Chitta, University of Tübingen WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction00:30 Benchmarking AVs is hard02:36 Flaws in Open Loop Benchmarks05:18 What about Simulation07:18 Non-reactive Simulation08:11 No Sensor Simulation11:54 No Traffic Simulation13:33 NAVSIM Metrics16:00 The Predictive Driver Model (PDM) Score18:10 Comparing PDMS vs Closed-loop Metrics20:09 OpenScene Release to make E2E Research more Accessible24:15 OpenScene Benchmark Results25:54 2024 NAVSIM Challenge26:35 Limitations27:56 Conclusion
[CVPR24 WAD] Keynote - Georgios Pavlakos WAD at CVPR 2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.00:00 Introduction00:58 Perceiving Humans in 4D03:17 Improving Robustness in Human Motion Estimation04:49 Human Mesh Recovery (HMR)07:46 HMR Examples11:28 Application for Tracking13:47 SLAHMR: Decoupling Human and Camera Motion in the Wild18:36 SLAHMR Examples21:30 Reconstructing Humans and Scenes22:24 Reconstructing 3D Humans in Contact22:55 Reasoning about Humans in Simulation23:31 Building Realistic Avatars24:00 Conclusion
[CVPR23 WAD] Keynote - Hang Zhao, Tsinghua University WAD at CVPR 2023-06-30 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction00:27 A Simplified Self-Driving Stack01:05 ViP3D: End-to-End Visual Prediction02:25 Scalability04:56 3D Occupancy Prediction07:28 Auto-Labeling Occupancy Datasets12:25 The Occ3D and SSCBench Benchmarks13:47 Handling New Geo-Locations16:31 VectorMapNet18:59 Neural Map Priors22:10 Map Prior Improving Range and Robustness23:35 Conclusion
[CVPR23 WAD] Challenge - Argoverse WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction01:50 What is Argoverse (2)7:17 Multi-Agent Motion Forecasting Challenge20:57 End-to-End Forecasting Challenge36:26 4D Occupancy Forecasting Challenge44:38 Self-Supervised Scene Flow Challenge
[CVPR23 WAD] Challenge - BDD100K WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction00:35 First Winner12:35 Second Winner
[CVPR23 WAD] Keynote - Andreas Wendel, Kodiak Robotics WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
[CVPR23 WAD] Challenge - Waymo Open Dataset WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction06:15 What's New08:04 Waymax & Perception Object Assets11:13 New Dataset Format14:43 Polling21:47 Pose Estimation Challenge31:57 Motion Prediction Challenge42:30 Sim Agents Challenge54:42 2D Video Panoptic Segmentation
[CVPR23 WAD] Keynote - Alexandre Alahi, EPFL WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introducing Social Forecasting03:05 Robot Experiment04:34 Representation Learning: Perception08:52 Representation Learning: Social Forecasting16:57 Representation Learning: Planning19:13 7 Foundational Principles for Autonomous Mobility19:22 P1: Predictive Coding21:18 P2: Opposites23:30 P3: Multimodality24:09 P4: Focused Learning25:21 P5: Compositionality and Sparsity26:41 P6: Causality28:07 P7: In Vivo Practice29:11 Summary
[CVPR23 WAD] Keynote - Ashok Elluswamy, Tesla WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction02:09 Occupancy Networks Recap04:04 Generative Modeling of Lanes06:15 Object Prediction & Properties08:10 Fleet Auto-Labeling13:23 Learning a General World Model18:04 Large Compute20:02 Q&A
[CVPR23 WAD] Keynote - Jiyang Gao, Momenta WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction00:55 Long-Tail Problem02:11 Momenta Flywheel Strategy02:57 Momenta's Mapless Solution04:55 DDLD: Data Driven Landmark Detection10:48 DLP: Deep Learning Planning17:35 DDPF: Data Driven Pose Fusion25:25 Summary
[CVPR23 WAD] Keynote - Chelsea Finn, Stanford University/Google WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction01:25 Examples of Distribution Shift03:48 Takeaways from Benchmark Creation Process08:05 What Should We Do About Distribution Shift?08:49 Detecting Distribution Shift19:51 Improve Predictions under Shift24:06 Diversify and Disambiguate (DivDis)26:50 Overall Takeaways
[CVPR23 WAD] Keynote - Andreas Geiger, Universität Tübingen WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.00:00 Introduction03:12 nuPlan04:53 Open-Loop and Closed-Loop05:57 Lesson 1: A route centerline is all you need for ego-forecasting08:25 Lesson 2: Rule-based beat learned planners in closed-loop10:06 Lesson 3: Planning & ego-forecasting tasks are misaligned16:01 Lesson 4: Learned/long-term forecasting doesn't improve closed-loop17:49 CARLA22:00 TransFuser22:58 Lesson 5: Target point conditioned methods learn shortcut when out-of-distribution25:26 Lesson 6: Average pooling remove spatial info and increases bias27:11 Lesson 7: Waypoint representations work well as they learn to interpolate28:48 Summary
[CVPR23 WAD] Keynote - Chen Wu, Waymo WAD at CVPR 2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.0:00 Introduction0:21 Waymo's Progress3:36 Adverse Weather5:21 Navigating Construction Zones6:49 Handling Dense Traffic7:35 Safety10:28 Core Architecture: MotionDiffuser14:11 Core Architecture: SWFormer17:37 Long-Tail: Rare Example Mining21:04 Long-Tail: Open-Set Perception24:56 Holistic Approach to Handling Adverse Weather
[CVPR22 WAD] Keynote - Alex Kendall, Wayve WAD at CVPR 2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Keynote - Sergey Levine, UC Berkeley WAD at CVPR 2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Keynote - Yuning Chai, Cruise WAD at CVPR 2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Challenge - Argoverse WAD at CVPR 2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Challenge - nuPlan by Motional WAD at CVPR 2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Challenge - BDD100K WAD at CVPR 2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Challenge - Waymo Open Dataset WAD at CVPR 2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Keynote - Matthew Johnson-Roberson, CMU WAD at CVPR 2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Keynote - Raquel Urtasun, Waabi/UofT WAD at CVPR 2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
[CVPR22 WAD] Keynote - Sanja Fidler, Nvidia/UofT WAD at CVPR 2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022.2022-06-20
![[CVPR22 WAD] Keynote - Ashok Elluswamy, Tesla](https://i.ytimg.com/vi/jPCV4GKX9Dw/hqdefault.jpg)