CrazyWangBa's Stars
houqb/CoordAttention
Code for our CVPR2021 paper coordinate attention
rohanchandra30/TrackNPred
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
Haoran-SONG/PiP-Planning-informed-Prediction
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
HKUST-Aerial-Robotics/DSP
Trajectory Prediction with Graph-based Dual-scale Context Fusion
AutoVision-cloud/SSL-Lanes
[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
mengmengliu1998/LAformer
[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
Rim-El-Ballouli/NGSIM-US-101-trajectory-dataset-smoothing
smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
Petrichor625/BATraj-Behavior-aware-Model
[AAAI 2024] Official PyTorch Implementation of ''BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving''.
gorkaydemir/ADAPT
Official implementation of the ICCV 2023 paper "ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation"
schmidt-ju/crat-pred
Naughty-Galileo/YoloV5_MCMOT
多类别多目标跟踪YoloV5+sort/deepsort/bytetrack/BotSort/motdt
narsisn/Argoverse2_Motion_Forecasting
MFTF: Motion Forecasting Using Transformers
d1024choi/HLSTrajForecast
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
Petrichor625/HLTP
[IEEE TIV] Official PyTorch Implementation of ''A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.''
XinGP/DGFNet
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
RayneSun/VTPLSTM
Inspired by the performence of Social LSTM. I created a model that could predict vehicle's trajectory in 5s. The model uses LSTM as center. I trained it at NGSIM. Still fix it...
ebrahimpichka/GAT-pt
PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3
jzhang538/Argoverse-Data-Preprocess
Data preprocessing tool for Argoverse Motion Forecasting Benchmark
myth1665/deep_prediction
Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset
necrophagists/ChatGLM2_Lora
This repo was a simple way to implement Lora to fine-tuning ChatGLM2.这个项目是用LORA微调chatglm2的简单实现。
djamelbenr/Improving-Efficiency-and-Generalisability-of-MP
(IEEE-ITS 2023) Improving Efficiency and Generalisability of Motion Prediction with Deep Multi-Agent Learning and Multi-Head Attention
ZHjiuang/yolov5-ghostnetv2-SIOU-CA-WBF-V6.2
Qingchao-Xu/FutuTP
FutuTP: Future-based Trajectory Prediction for Autonomous Driving
forever208/yolov5_train_on_UA-DETRAC
Train YOLOv5 with dataset UA-DETRAC to detect vehicles.
tapan0007/CSE251B-Argoverse-Trajectory-Prediction