Stars
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
支持Linux DO的ChatGPT/Claude/Midjourney/API/Grok 共享平台-后端项目
TensorFlow Tutorial and Examples for beginners
LSTM based Vehicle Trajectory Prediction
LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework
Highway driving simulator incorporating NGSIM dataset using reinforcement learning
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...
Trajectory prediction on the NGSIM dataset.
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
The autonomous driving related publications of our lab.
The autonomous driving related publications of our lab.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Lane Changes in a Highway environment using Reinforcement learning in SUMO
Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models.
Code for an optimal velocity model (OVM) and a multiple car following (MCF) model
This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.
IFEEMCS520100 Difference in car-following interaction between following a human-driven vehicle and an autonomous vehicle project
Simulation of car following model
Source code for paper "FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling"