nv-tlabs / STRIVE
Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"
☆136Updated 2 months ago
Alternatives and similar repositories for STRIVE:
Users that are interested in STRIVE are comparing it to the libraries listed below
- [ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"☆159Updated 6 months ago
- [ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients☆79Updated 2 years ago
- [CVPR2024] ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles https://arxiv.org/abs/2405.14062☆105Updated 5 months ago
- [ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving☆230Updated 6 months ago
- [ICCV'23] Hidden Biases of End-to-End Driving Models☆301Updated this week
- ☆77Updated 10 months ago
- Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.☆126Updated 2 months ago
- ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving☆200Updated last month
- TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the …☆59Updated last year
- [ICLR'22] A Unified Architecture for Predicting Multiple Agent Trajectories☆158Updated 2 years ago
- A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024☆285Updated last week
- [ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning☆259Updated 10 months ago
- [NeurIPS 2024] SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction☆95Updated this week
- [ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles☆171Updated last year
- ☆233Updated last month
- SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving☆225Updated 7 months ago
- All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码,收集的相关experts☆121Updated 11 months ago
- Generative model for Unified Motion Planning tasks☆133Updated 3 months ago
- [ICCV'2023] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders☆180Updated last year
- [CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.☆222Updated 10 months ago
- [TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving☆237Updated last year
- ☆146Updated last year
- [ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion☆207Updated last year
- [ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning☆188Updated 3 months ago
- BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive☆191Updated last month
- PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving☆292Updated 6 months ago
- ☆107Updated 2 years ago
- ☆87Updated this week
- [NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking☆351Updated 2 weeks ago
- Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.☆226Updated 2 years ago