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autobots

aware-of-the-history

Official PyTorch code for our ECCV'22 paper Collaborative Uncertainty in Multi-Agent Trajectory Forecasting.

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-trajectory-motion-prediction-papers

awesome-trajectory-prediction

campus2024

2024届互联网校招信息汇总

cmu-datf

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

convolutional-transformer-for-trajectory-prediction

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

deepgraph

densetnt

detr

End-to-End Object Detection with Transformers

dipp

Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving https://mczhi.github.io/DIPP/

explainable-mp

Code for "Towards Explainable Multi-modal Motion Prediction using Graph Representations"

flashocc

fusionad

An open source autonomous driving stack by San Jose State University Autonomous Driving Team

groupnet

[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

hivt

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

hlstrajforecast

The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" accepted to ECCV2022.

home

An implementation of HOME: Heatmap Output for future Motion Estimation

human-path-prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

interaction-dataset

Interaction Dataset Python Scripts

intersim

iros2021paperlist

IROS 2021 paper list

laformer

Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"

lanelet2

Map handling framework for automated driving

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

m2i

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

mantra-cvpr20

Official Pytorch code for MANTRA - Memory Augmented Neural Trajectory Predictor (CVPR2020)