[CVPR 2023 最佳论文奖] 面向规划的自动驾驶

motion-prediction 开源项目推荐(88 个)
motion-prediction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 88 个仓库有关轨迹预测的最新研究材料精选
人体姿势估计相关出版物
[CVPR 2023] Query-Centric Trajectory Prediction
[TMLR 2025🔥] A survey for the autoregressive models in vision.
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
[ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
Implementation of PF-Track
A selection of state-of-the-art research materials on decision making and motion planning.
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
[CVPR 2024] SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
Code for our CVPR 2019 work.
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.
[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/motion-prediction。
- 该话题在 GitHub 上共有 88 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.4 万 Star,覆盖 2 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。