Stars
Gradient-based Adaptive Markov chain Monte Carlo
数据结构练习/The code of Data Structures in C++(Junhui Deng, tshinghua university)
using vehicle's trajectory data to analysis the driver's driving behaviors, then to predict the car accident rate
Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence
Udacity Self-Driving Car Engineer Nanodegree projects.
Autoware - the world's leading open-source software project for autonomous driving
Z-SB / Self-Driving-Vehicle-Control-Using-Carla
Forked from munirjojoverge/Self-Driving-Vehicle-Control-Using-CarlaIn this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigating through preset waypoints (x,y,speed). The vehicle needs to…
A set of CARLA scenarios demonstrating expanded scope for Responsibility-Sensitive Safety (RSS).
Personalization of Assistive Driving in Carla Simulator
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Implementing Lane Keeping Assist (LKA) on CARLA simulator
Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator
Reinforcement Learning codebase for self-driving car in Carla
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Robustness-guided testing: CARLA, RSS, parameter exploration
Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data
车联网数据收集与分析平台，主要使用：MQTT+Kafka+KSQL+Tensorflow（使用MQTT作为传输协议，EMQ作为MQTT Broker，Kafka作为消息中间件存储数据，KSQL作为流处理工具，Tensorflow用于数据分析模型预测）
A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to external disturbances, such as road surface, weather, wind co…
Given the Live on board data of various drivers, a score corresponding to each driver is to be formulated, which will help insurance companies to rate a Driver.
The goal of this project was to build a smartphone application that can recognize hazardous behavior of a car driver. The driver actions divided into several categories and the smart scoring system…
The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides feedback to improve road safety. The system can be part of a l…