wy12184163's starred repositories
KuiperInfer
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
CILv2_multiview
This is a repository for paper Sequential Attention Learning for End-to-end Driving
carla_diffusion
Using diffusion model to reach controllable end-to-end driving with Carla simulation environment.
interp-e2e-driving
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
awesome-end-to-end-autonomous-driving
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
lane_change_sumo
Best lane-changing policy with various types of car, on SUMO simulator.
vehicles-trajectory-detection
A comprehensive solution for detecting and tracking vehicle trajectories using YOLO, Kalman Filter, and the Hungarian Algorithm. Includes a Flask web application for easy video upload and processing.
Racing-Track-Driving
Project of "Racing Track Driving" in H.M.A. Group. Content includes trajectory planning and control of vehicles based on optimal control methods, and end-to-end control of vehicles based on data-driven methods.
model-predictive-control
MPC in vehicle to track reference trajectory
5G_NR_V2X_simulator
A project which uses SUMO traffic simulator to model communication between self-driving cars in 5G network
Platooning_Simulator
A small extension of Carla for the validation of vehicle platoon controllers.
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
CarDreamer
World Model based Autonomous Driving Platform in CARLA :car:
Veins_SUMO_OMNeTpp
Veins、SUMO、OMNeT++车联网联合仿真。
PreDigitalTwinTrafficSim
A dissertation project developing a Digital Twins Framework to simulate motorway traffic, focusing on the impact of connected and autonomous vehicles. Utilizes SUMO for traffic modeling and a custom communication architecture for data analysis.
sumo-cf-calibration
Code to accompany "Calibrating Car-Following Models using SUMO-in-the-loop and Vehicle Trajectories from Roadside Radar"
Yolov9-VancouverTrafficCongestion
Implementation of YOLOv9 and V2X Technology for Traffic Signal Priority
Traffic_RL_Synapse
An intelligent traffic RL system to ensure lesser waiting times and smarter city signals.We have coded three things-1-A sumo simulation of q learning algorithm.2-A pygame solution of round robin approach with priority given to ambulances and emergency vehicles.3-Heatmap visualization of traffic at a signal
DRL-Transformer-SimtoReal-Navigation
[T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
E2E-CARLA-ReinforcementLearning-PPO
An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.