A tool for Linux kernel observability, using eBPF technology, covering CPU, fs, memory and network subsystems 一款用于Linux内核可观测性的工具,采用eBPF技术,涉及CPU、文件、内存以及网络子系统
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Updated
Sep 15, 2025 - C
A tool for Linux kernel observability, using eBPF technology, covering CPU, fs, memory and network subsystems 一款用于Linux内核可观测性的工具,采用eBPF技术,涉及CPU、文件、内存以及网络子系统
Vehicle driving model for the simulation of driver strategies in regards to possible traffic lights with fully variable position and timing
An Attempt at Autonomous Vehicle Software and Hardware with existing infrastructure
Here is the Sorbonne University main repository for the Autonomous driving race host by ENS
Implementation of Autonomous system with ROS on a Minicar provided of a Raspberry Pi 3.
Autonomous 1:10 race car with a reinforcement learning based approach
Non-linear curvature MPC developed for BCN eMotorsport Formula Student team.
Drive-by-wire implementation on Stm32f4
Automated Safety Driving Car
TI MSP432 programmed using embedded C to control an autonoumous 1/18-scale car to navigate a randomized track. Final project for RIT CMPE-460 IDE.
AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving
Embedded system for self driving
This repository can help you to prepare technical questions during the recruiting process for high tech companies. If you are interested on the development of autonomous driving from hardware and software perspective, please take a look to the content of the queries that you will find during the interviews.
The Design and Implementation of an Autonomous Mars Rover that has full mapping, remote control and power management capabilities.
Heuristic optimization algorithms to improve the performance of a lane detection and tracking algorithm, using Webots simulator.
Autonomous remote-controlled car using Deep Learning
Autonomous driving Rover, a project for Embedded System course of Computer Engineering in University of Salerno (Italy)
[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
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