ZoeyDai

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ROS-Academy-for-Beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

TNT-Trajectory-Prediction

A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

QCNet

[CVPR 2023] Query-Centric Trajectory Prediction

DAIR-V2X

VectorNet

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

PGP

Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.

M2I

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

V2V4Real

[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"

2022AICITY_Code_From_Top_Teams

codes from top teams of AI City Challenge 2022

QT

QT相关项目

Lane-Transformer

videomix

Implementation of brand new video augmentation strategy for video action recognition with 3D CNN

BPAI-Net

stgcn-lstm

Spatial-Temporal Graph Convolutional Neural Network with LSTM layers

zs-drive_and_act

Benchmark protocol for zero-shot driver behavior recognition on the Drive&Act dataset.

Deep-Learning-on-Traffic-Prediction

Repository for Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions<https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9352246>

AICity2023_DrivingAction

The solution for the AI City Challenge 2023 Track 3 (Naturalistic Driving Action Recognition)

AIcity2024-track3

QCNet

QCNet+visualization

Aicity2023-Track3

Aicity2023-Track3

AICAS

Distracted-Driver-Detection

This is Deep learning final project