Andrej is the Senior Director of AI at Tesla, where he leads the team responsible for all neural networks on the Autopilot. Previously, Andrej was a Research Scientist at OpenAI working onDeep Learning in Computer Vision, Generative Modeling and Reinforcement Learning. Andrej received his PhD from Stanford, where he worked with Fei-Fei Li on Convolutional/Recurrent Neural Network architectures and their applications in Computer Vision, Natural Language Processing and their intersection. Over the course of his PhD, Andrej squeezed in two internships at Google where he worked on large-scale feature learning over YouTube videos, and in 2015 he interned at DeepMind and worked on Deep Reinforcement Learning. Together with Fei-Fei, Andrej designed and taught a new Stanford class on Convolutional Neural Networks for Visual Recognition (CS231n). The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017.
[CVPR21 WAD] Keynote - Andrej Karpathy, TeslaWAD at CVPR2021-06-24 | Talk given on 2021/06/20.
Andrej is the Senior Director of AI at Tesla, where he leads the team responsible for all neural networks on the Autopilot. Previously, Andrej was a Research Scientist at OpenAI working onDeep Learning in Computer Vision, Generative Modeling and Reinforcement Learning. Andrej received his PhD from Stanford, where he worked with Fei-Fei Li on Convolutional/Recurrent Neural Network architectures and their applications in Computer Vision, Natural Language Processing and their intersection. Over the course of his PhD, Andrej squeezed in two internships at Google where he worked on large-scale feature learning over YouTube videos, and in 2015 he interned at DeepMind and worked on Deep Reinforcement Learning. Together with Fei-Fei, Andrej designed and taught a new Stanford class on Convolutional Neural Networks for Visual Recognition (CS231n). The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017.[CVPR26 WAD] Keynote - Vincent Vanhoucke, WaymoWAD at CVPR2026-09-03 | "Lessons from Driving 200 Million Fully Autonomous Miles" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 03:00 Lesson 1: Scaling as a game of 9s 08:47 Lesson 2: Maps are an extremely powerful sensor 12:27 Lesson 3: Scaling is the law 13:35 Lesson 4: Rare events are merely not frequent yet 18:17 Lesson 5: Building a scalable critic is essential 20:26 The Waymo Flywheel 22:35 Conclusion[CVPR26 WAD] Keynote - Alexandre Alahi, EPFLWAD at CVPR2026-09-03 | "3 Principles for Building World Models" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 01:51 Video World Models 03:22 Current Challenges 04:12 Motion Appearance Decoupling 07:52 Infinite-Length Video Generation 11:22 LayerSync 15:09 SenCache 20:09 Limitations and Future Directions[CVPR26 WAD] Keynote - Holger Caesar, TU DelftWAD at CVPR2026-09-03 | "Autonomous Driving at the Crossroads" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 01:06 The optimistic view 08:24 The pessimistic view 23:28 New Datasets and Applications 26:40 Conclusion[CVPR26 WAD] Keynote - Sanja Fidler, NVIDIAWAD at CVPR2026-09-03 | "Advancing Autonomous Vehicles with World Models" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 01:04 Evolution of Simulation 06:28 Simulation 2.0: Neural Reconstruction 09:55 Simulation 3.0: Generative World Models 11:26 Real-Time World Model (OmniDreams) 21:30 OmniDreams Results 24:10 OmniDreams as a World-Action Model[CVPR26 WAD] Keynote - Alex Kendall, WayveWAD at CVPR2026-09-03 | "Frontier Challenges in Bringing AI to 1B Robots" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 01:55 Can Autonomy Generalize? 05:19 End-to-End AI for Driving 09:47 Generative AI for Autonomy 12:45 Could we learn to drive in a World Model? 14:50 End-to-End should extend to Safety and Simulation too 19:07 Platform will reach greater scale than vertically integrated autonomy 23:15 Cost matters 27:29 Wayve Labs 29:24 Conclusion[CVPR26] Keynote - Shai Shalev-Shwartz, MobileyeWAD at CVPR2026-09-03 | "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 Lesson 01:15 Scaling has Diminishing Returns 03:38 A Hay in a Haystack 07:55 Toward Efficient Scaling: AdaBoost 12:30 Scenario Boosting 16:15 Scenario Boosting as a Game 18:47 Building the Meteor Agent 21:05 The Meteor Agent in Action 25:51 Conclusion[CVPR26] Keynote - Ashok Elluswamy, TeslaWAD at CVPR2026-09-03 | "Building Foundational Models for Robotics at Tesla" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 01:14 Tesla Self-Driving 06:35 End-to-end Foundation Model for all of Robotics 07:45 The Case for and Challenges in E2E driving 11:09 Challenge 1: Curse of Dimensionality 15:55 Challenge 2: Interpretability and Safety 18:06 Challenge 3: Evaluation 21:58 Conclusion[CVPR26] Keynote - Raquel Urtasun, WaabiWAD at CVPR2026-09-03 | "Reimagining the Physical World with AI" Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro 01:10 Design Characteristics of Autonomous Systems 02:57 Evolution of Self-Driving 07:30 "Next Gen" AV2.0 11:47 Waabi World 16:00 Digital Twinning 19:10 The Rise of Generative Models 21:18 How can we prove safety? 28:06 Conclusion[CVPR26] Challenge - ArgoverseWAD at CVPR2026-09-03 | Talk given at the CVPR Workshop on Autonomous Driving 2026: https://cvpr2026.wad.vision/.
00:00 Intro: What is Argoverse 01:45 (Un)supervised Scene Flow 07:07 Scene Flow Challenge Winners 10:13 Scenario Mining 14:20 Scenario Mining Challenge Winners 22:00 Future Directions[CVPR25 WAD] Keynote - Hongyang Li, The University of Hong KongWAD at CVPR2025-09-08 | "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 Introduction 00:56 End-to-End Autonomous Driving 05:07 Development Stack of Driving Models 08:00 World Engine (E2E Driving 2.0) 10:28 Nexus: Decoupled Diffusion Sparks Adaptive Scene Generation 14:26 MTGS: Multi-Traversal Gaussian Splatting 17:07 NAVSim v2: Pseudo-Simulation for Autonomous Driving 21:04 Key Challenge: Scalable RL 24:18 Takeaways[CVPR25 WAD] Keynote - Wolfram Burgard, University of Technology NurembergWAD at CVPR2025-09-08 | "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 Introduction 00:48 Trends in AI-based Robotics 01:58 Trend 1: Probabilistic Robotics 09:53 Trend 2: Deep Networks 12:47 Uncertainty-Aware Panoptic Segmentation (EvPSNet) 14:54 Uncertainty-Aware LiDAR Panoptic Segmentation (EvLPSNet) 16:25 uPLAM: Robust Panoptic Localization & Mapping 19:00 Do We Really Need Maps? 21:04 Trend 3: Foundation Models 22:13 Visual Language Maps for Robot Navigation 24:03 FM-Loc: Using Foundation Models for Vision-Based Navigation 29:26 Outlook[CVPR25] Keynote - Laura Leal Taixe, NVIDIAWAD at CVPR2025-09-08 | "Repurposing Generative Models for 3D Data" Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Introduction 01:46 NVIDIA Cosmos Foundation Model 04:32 LiDAR Representation 05:11 LiDAR Tokenization 08:12 Conditions for LiDAR Generation 12:31 Joint Modeling of LiDAR & RGB 16:25 Final Thoughts[CVPR25] Keynote - Deva Ramanan, CMUWAD at CVPR2025-09-08 | "Perception and Simulation for Self-Driving Vehicles" Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Introduction 01:12 Section 1: Deep Dive into NuPlan & Planning Metrics 04:06 Reactive Agents 07:10 State-of-the-Art on NuPlan 08:03 Adopting to City-Specific Behavior 15:55 Motion Understanding 19:03 Utilizing Pseudo-Labels 24:02 Scenario Mining 26:42 CVPR Scenario Mining Challenge 27:29 Conclusion[CVPR25] Challenge - ArgoverseWAD at CVPR2025-09-08 | Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Introduction 00:35 What is Argoverse (2)? 02:36 Challenge 1: (Un)supervised Scene Flow 05:50 Scene Flow Leaderboard 06:23 Winning Method (Delta Flow) 08:46 Highlighted Method (Floxels) 10:12 Challenge 2: Scenario Mining 17:32 Scenario Mining Leaderboard 21:03 Challenge 3: Multi-Agent Forecasting 22:50 Multi-Agent Forecasting Leaderboard 23:56 Future Directions[CVPR25] Keynote - Wei Zhan, Applied IntuitionWAD at CVPR2025-09-08 | "Scalable Neural Simulation for Autonomy" Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Introduction 00:25 Scalable Simulation for E2E Stacks 02:28 Gaussian Splatting 03:08 DeSiRe-GS: 4D Street Gaussians 06:18 Incomplete Objects from 3DGS 07:28 R3D2: Realistic 3D Asset Insertion via Diffusion 11:36 X-Drive: Cross-Modality Multi-Sensor Data Synthesis 15:30 Feed-Forward 3DGS & DrivingRecon 18:40 PixelGaussian: Generalizable Gaussian from Arbitrary Views 20:00 Onboard and Offboard Models 21:26 S2GO: Streaming Sparse Gaussian Occupancy Prediction 26:12 Neural Simulator 27:25 Conclusion[CVPR25] Challenge - NexarWAD at CVPR2025-09-08 | Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Introduction 00:44 About Nexar 02:54 Nexar Open Dataset 06:02 Nexar Crash Prediction Challenge 09:12 Leaderboard 11:22 1st Place 12:19 2nd Place 13:18 3rd Place 15:55 Examples of Difficult Cases 17:10 Where Next? 18:12 Key Takeaways[CVPR25] Keynote - Chen Wu, WaymoWAD at CVPR2025-09-08 | "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 Introduction 01:48 Waymo One Service 03:30 Challenging Driving Examples 04:28 Waymo's Safety Record 05:54 The Waymo Foundation Model 07:53 Adverse Weather 12:47 Sensor Fusion 14:22 Occlusion Reasoning 19:32 Scene Understanding 23:00 Data 24:30 Depots - Enabling Operational Excellence 25:57 Fast Real-Time Decisions[CVPR25] Keynote - Xianming Liu, XPengWAD at CVPR2025-09-08 | "Scaling up Autonomous Driving via Large Foundation Models" Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Introduction 00:40 XPeng's Driving Assistance System 02:26 Capabilities in Mass Production 03:56 SW 3.0 AI Factory 06:45 Foundation Model 10:40 Alignment & CoT 15:22 Supervised Finetuning (SFT) 17:30 Reinforcement Learning 19:35 Summary 21:23 Additional Demos[CVPR25] Challenge - Waymo Open DatasetWAD at CVPR2025-09-08 | Talk given at the CVPR Workshop on Autonomous Driving 2025: https://cvpr2025.wad.vision/.
00:00 Hongyang Li: End-to-end Autonomous Driving: Past, Current and Onwards 25:50 Wolfram Burgard: Probabilistic and Deep Learning Approaches for Automated Driving 56:00 Laura Leal-Taixe: Repurposing Generative Models for 3D Data 01:13:43 Deva Ramanan: Perception and Simulation for Self-Driving Vehicles 01:42:26 Argoverse Challenges 02:07:13 Wei Zhan: Scalable Neural Simulation for Autonomy 02:35:40 Nexar Challenges 02:54:52 Chen Wu: Solving Real-World Challenges of Large-Scale AV Deployment 03:22:24 Waymo Open Dataset Challenges 04:12:53 Xianming Liu: Scaling up Autonomous Driving via Large Foundation Models[CVPR24 WAD] Keynote - Sanja Fidler, NVIDIAWAD at CVPR2024-09-12 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 01:43 AV Stack Evolution 03:43 NVIDIA's Generative AI & Drive Thor 05:11 Today's Talk 05:41 Foundation Models in Data Tools 06:47 Visual Retrieval 07:55 Semantic Scenario Clustering 08:54 Foundation Model powered AV Stack (AVFM) 10:40 PARA-Drive 11:10 Hydra-MDP 11:41 Trajeglish 12:21 Video Generation 13:53 Video Modeling 16:31 Video Tokenization 17:48 Open-Loop Trajectory Prediction 18:54 Simulation 20:15 Physics, Dynamics and Editing 22:00 Closed-Loop Testing 23:34 Object Insertion and Handling Large Scenes 25:05 Scene Generation 25:56 fVDB Release 27:28 Conclusion[CVPR24 WAD] Challenge - Waymo Open DatasetWAD at CVPR2024-09-12 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 01:52 Waymo's Experience and Service Areas 03:26 Driving Examples 05:30 Construction, Emergency Vehicles and Freeways 09:25 Waymo's Safety Record 10:34 Rare Event Examples 11:21 Long-Tail Handling 12:48 LLM/VLM Reasoning 14:13 Open-Vocabulary Perception using VL Distillation 19:20 MotionLM: Modeling Driving as a Conversation 23:10 MoST: Scene Tokenization for Motion Prediction 29:25 Open Questions in the LLM/VLM Space 31:25 Waymo Rider Experience 32:17 Conclusion[CVPR24 WAD] Challenge - ArgoverseWAD at CVPR2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 00:49 What is Argoverse (2) 01:15 Sensor Dataset 01:55 LiDAR Dataset 02:24 Motion Forecasting Dataset 02:55 Map Change Dataset 03:57 Argoverse post-Argo 05:07 (Un)supervised Scene Flow Challenge 18:27 End-to-End Forecasting Challenge 32:22 Multi-Agent Motion Forecasting Challenge 41:56 4D Occupancy Forecasting Challenge 53:32 Conclusion[CVPR24 WAD] Keynote - Nick Roy, ZooxWAD at CVPR2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 00:59 Autonomy Architectures 03:25 Structured Optimization vs E2E Learned Policies 06:38 Hybrid Architecture 08:34 Early Sensor Fusion 11:03 Learned Depth Completion 12:45 Handling Debris 15:33 The IID Assumption is Brittle 16:37 OOD Detection 20:06 OOD Detection using Foundation Model Embeddings 23:30 Domain Knowledge Helps Create Data 25:06 Directed Scenario Generation 28:41 JAX-Accelerated Reinforcement Learning 30:30 Symbol Grounding & Conclusion[CVPR24 WAD] Keynote - Alex Kendall, WayveWAD at CVPR2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 01:07 The Road to Embodied AI 01:57 From Vision to Action 03:43 AV2.0: An End-to-End System 04:57 Promises of End-to-End Systems 06:18 Focus Areas to Create Embodied AI 06:53 Focus Area: Simulation 08:36 Ghost Gym: Neural Simulator 09:28 Introducing PRISM-1 12:09 Launching WayveScenes101 14:07 GAIA: Generative World Model 18:13 Focus Area: Multimodality 19:27 LINGO-1: Offline Video QA 21:21 LINGO-2: Grounded Vision-Language-Action Model 24:32 AV2.0 Reimagining the Driving Experience 25:30 Focus Area: Engineering to Product 28:00 Embodied AI Foundation Models 31:38 Safety by Design 33:05 Conclusion[CVPR24 WAD] Keynote - Bolei Zhou, UCLAWAD at CVPR2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 00:52 The Gap between Industry and Academia 02:02 Driving Datasets 02:51 Driving Simulators 04:41 The MetaDrive Simulator 07:26 ScenarioNet 11:29 TrafficGen 13:30 Closed-Loop Adversarial Training (CAT) 16:18 SimGen Driving Scene Generation 21:04 Mobility Anywhere 22:55 MetaUrban Simulator 25:35 Conclusion[CVPR24 WAD] Keynote - Kashyap Chitta, University of TübingenWAD at CVPR2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 00:30 Benchmarking AVs is hard 02:36 Flaws in Open Loop Benchmarks 05:18 What about Simulation 07:18 Non-reactive Simulation 08:11 No Sensor Simulation 11:54 No Traffic Simulation 13:33 NAVSIM Metrics 16:00 The Predictive Driver Model (PDM) Score 18:10 Comparing PDMS vs Closed-loop Metrics 20:09 OpenScene Release to make E2E Research more Accessible 24:15 OpenScene Benchmark Results 25:54 2024 NAVSIM Challenge 26:35 Limitations 27:56 Conclusion[CVPR24 WAD] Keynote - Georgios PavlakosWAD at CVPR2024-09-11 | Talk given at the CVPR Workshop on Autonomous Driving 2024: https://cvpr2024.wad.vision/.
00:00 Introduction 00:58 Perceiving Humans in 4D 03:17 Improving Robustness in Human Motion Estimation 04:49 Human Mesh Recovery (HMR) 07:46 HMR Examples 11:28 Application for Tracking 13:47 SLAHMR: Decoupling Human and Camera Motion in the Wild 18:36 SLAHMR Examples 21:30 Reconstructing Humans and Scenes 22:24 Reconstructing 3D Humans in Contact 22:55 Reasoning about Humans in Simulation 23:31 Building Realistic Avatars 24:00 Conclusion[CVPR23 WAD] Keynote - Hang Zhao, Tsinghua UniversityWAD at CVPR2023-06-30 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 00:27 A Simplified Self-Driving Stack 01:05 ViP3D: End-to-End Visual Prediction 02:25 Scalability 04:56 3D Occupancy Prediction 07:28 Auto-Labeling Occupancy Datasets 12:25 The Occ3D and SSCBench Benchmarks 13:47 Handling New Geo-Locations 16:31 VectorMapNet 18:59 Neural Map Priors 22:10 Map Prior Improving Range and Robustness 23:35 Conclusion[CVPR23 WAD] Challenge - ArgoverseWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 01:50 What is Argoverse (2) 7:17 Multi-Agent Motion Forecasting Challenge 20:57 End-to-End Forecasting Challenge 36:26 4D Occupancy Forecasting Challenge 44:38 Self-Supervised Scene Flow Challenge[CVPR23 WAD] Challenge - BDD100KWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 00:35 First Winner 12:35 Second Winner[CVPR23 WAD] Keynote - Andreas Wendel, Kodiak RoboticsWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.[CVPR23 WAD] Challenge - Waymo Open DatasetWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 06:15 What's New 08:04 Waymax & Perception Object Assets 11:13 New Dataset Format 14:43 Polling 21:47 Pose Estimation Challenge 31:57 Motion Prediction Challenge 42:30 Sim Agents Challenge 54:42 2D Video Panoptic Segmentation[CVPR23 WAD] Keynote - Alexandre Alahi, EPFLWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introducing Social Forecasting 03:05 Robot Experiment 04:34 Representation Learning: Perception 08:52 Representation Learning: Social Forecasting 16:57 Representation Learning: Planning 19:13 7 Foundational Principles for Autonomous Mobility 19:22 P1: Predictive Coding 21:18 P2: Opposites 23:30 P3: Multimodality 24:09 P4: Focused Learning 25:21 P5: Compositionality and Sparsity 26:41 P6: Causality 28:07 P7: In Vivo Practice 29:11 Summary[CVPR23 WAD] Keynote - Ashok Elluswamy, TeslaWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 02:09 Occupancy Networks Recap 04:04 Generative Modeling of Lanes 06:15 Object Prediction & Properties 08:10 Fleet Auto-Labeling 13:23 Learning a General World Model 18:04 Large Compute 20:02 Q&A[CVPR23 WAD] Keynote - Jiyang Gao, MomentaWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 00:55 Long-Tail Problem 02:11 Momenta Flywheel Strategy 02:57 Momenta's Mapless Solution 04:55 DDLD: Data Driven Landmark Detection 10:48 DLP: Deep Learning Planning 17:35 DDPF: Data Driven Pose Fusion 25:25 Summary[CVPR23 WAD] Keynote - Chelsea Finn, Stanford University/GoogleWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 01:25 Examples of Distribution Shift 03:48 Takeaways from Benchmark Creation Process 08:05 What Should We Do About Distribution Shift? 08:49 Detecting Distribution Shift 19:51 Improve Predictions under Shift 24:06 Diversify and Disambiguate (DivDis) 26:50 Overall Takeaways[CVPR23 WAD] Keynote - Andreas Geiger, Universität TübingenWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
00:00 Introduction 03:12 nuPlan 04:53 Open-Loop and Closed-Loop 05:57 Lesson 1: A route centerline is all you need for ego-forecasting 08:25 Lesson 2: Rule-based beat learned planners in closed-loop 10:06 Lesson 3: Planning & ego-forecasting tasks are misaligned 16:01 Lesson 4: Learned/long-term forecasting doesn't improve closed-loop 17:49 CARLA 22:00 TransFuser 22:58 Lesson 5: Target point conditioned methods learn shortcut when out-of-distribution 25:26 Lesson 6: Average pooling remove spatial info and increases bias 27:11 Lesson 7: Waypoint representations work well as they learn to interpolate 28:48 Summary[CVPR23 WAD] Keynote - Chen Wu, WaymoWAD at CVPR2023-06-29 | Talk given at the CVPR Workshop on Autonomous Driving 2023: https://cvpr2023.wad.vision/.
0:00 Introduction 0:21 Waymo's Progress 3:36 Adverse Weather 5:21 Navigating Construction Zones 6:49 Handling Dense Traffic 7:35 Safety 10:28 Core Architecture: MotionDiffuser 14:11 Core Architecture: SWFormer 17:37 Long-Tail: Rare Example Mining 21:04 Long-Tail: Open-Set Perception 24:56 Holistic Approach to Handling Adverse Weather[CVPR22 WAD] Keynote - Alex Kendall, WayveWAD at CVPR2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Keynote - Sergey Levine, UC BerkeleyWAD at CVPR2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Keynote - Yuning Chai, CruiseWAD at CVPR2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Challenge - ArgoverseWAD at CVPR2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Challenge - nuPlan by MotionalWAD at CVPR2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Challenge - BDD100KWAD at CVPR2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Challenge - Waymo Open DatasetWAD at CVPR2022-08-20 | Presented at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Keynote - Matthew Johnson-Roberson, CMUWAD at CVPR2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Keynote - Raquel Urtasun, Waabi/UofTWAD at CVPR2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20[CVPR22 WAD] Keynote - Sanja Fidler, Nvidia/UofTWAD at CVPR2022-08-20 | Talk given at the Workshop on Autonomous Driving at CVPR 2022. 2022-06-20