自动驾驶车辆的视觉导航(VNAV)Visual Navigation for Autonomous Vehicles (VNAV) |
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课程网址: | https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-485-v... |
主讲教师: | Prof. Luca Carlone; Kasra Khosoussi; Markus Ryll; Golnaz Habibi; Vasileios Tzuomas; Rajat Talak |
开课单位: | 麻省理工学院 |
开课时间: | 2020-10-01 |
课程语种: | 英语 |
中文简介: | 本课程涵盖自动驾驶车辆(如移动机器人、自动驾驶汽车、无人机)基于视觉导航算法的数学基础和最新实现。本课程为学生提供严格但实用的微分几何和流形优化概述,以及实时运动估计、校准、定位和映射的二视图和多视图几何视觉基础知识。理论基础由基于最先进的微型赛车和无人机平台的实践实验室补充。它以对该领域最新进展的批判性审查和旨在推进最新技术的团队项目而告终。 |
课程简介: | This course covers the mathematical foundations and state-of-the-art implementations of algorithms for vision-based navigation of autonomous vehicles (e.g., mobile robots, self-driving cars, drones). It provides students with a rigorous but pragmatic overview of differential geometry and optimization on manifolds and knowledge of the fundamentals of 2-view and multi-view geometric vision for real-time motion estimation, calibration, localization, and mapping. The theoretical foundations are complemented with hands-on labs based on state-of-the-art mini racecar and drone platforms. It culminates in a critical review of recent advances in the field and a team project aimed at advancing the state of the art. |
关 键 词: | 自动驾驶车辆; 微分几何; 流形优化概述 |
课程来源: | 麻省理工学院公开课 |
数据采集: | 2021-10-04:nkq |
最后编审: | 2021-10-04:nkq |
阅读次数: | 147 |