智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真

环境感知是无人驾驶的核心技术之一,而利用三维激光雷达进行障碍物检测一直是国内外的研究热点。本文首先按照传感器的种类介绍了无人车障碍物检测方法的分类,然后介绍了基于三维激光雷达进行障碍物检测的基本原理,之后详细分析了基于三维激光雷达进行障碍物检测的传统方法。其中深度学习是二维图像目标检测及分类的重要方法,在介绍三维激光雷达点云特点的同时分析了点云深度学习的挑战,最后详细分析了三维点云深度学习在障碍物检测方面的研究现状以及发展趋势,并且介绍了自动驾驶领域的KITTI数据集和ApolloScape数据集。

谷歌自动驾驶无人车安全报告，通往完全自动驾驶之路。谷歌全方位自曝Waymo无人车技术方案。waymo无人车安全报告.pdf

常规网上的联合仿真教程仅仅使用prescan自带的demo，但是这样无法使读者完全学会联合仿真，因此作者本人手动建立了一个carsim，prescan，simulink 联合仿真的列子，并总结了联合仿真过程中出现的问题，以及解决办法

主要是无人驾驶车的毕业设计, 使用与了解无人驾驶的基础

无人车综述：Abstract— We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system that can be categorized as SAE level 3 or higher. The architecture of the autonomy system of self-driving cars is typically organized into the perception system and the decision-making system. The perception system is generally divided into many subsystems responsible for tasks such as self-driving-car localization, static obstacles mapping, moving obstacles detection and tracking, road mapping, traffic signalization detection and recognition, among others. The decision- making system is commonly partitioned as well into many subsystems responsible for tasks such as route planning, path planning, behavior selection, motion planning, and control. In this survey, we present the typical architecture of the autonomy system of self-driving cars. We also review research on relevant methods for perception and decision making. Furthermore, we present a detailed description of the architecture of the autonomy system of the UFES’s car, IARA. Finally, we list prominent autonomous research cars developed by technology companies and reported in the media

地面站为mp修改而成，支持apm2.8 包含快速入门，使用手册，编译说明，原理图等

Optimal trajectories for time-critical street scenarios using discretized terminal manifolds 无人车规划经典论文

Upenn的F1tenth赛车建造手册。1. Building the Car 2. System Configuration 3. Installing Firmware. 4. Driving the Car - Start here if you have everything

宾夕法尼亚大学F1tenth的课件资源，PPTX格式。课件开源，需要登记申请，需要梯子下载，经授权在国内提供下载。