Chris Urmson: How a driverless car sees the road
推荐理由
This video shows why staying in your lane on a highway (what Tesla autopilot does) and dealing with city streets are two just completely different things
说明
这是2015年由TED发布的一部演讲,主题归在Self-driving & autonomous vehicles。它讲的是self-driving cars这一支里的具体问题,而不是把整个领域扫一遍。适合按兴趣直接看、不打算先补课的人。内容上可以概括成:Chris Urmson, head of Google's self-driving car program, shows footage of how the car perceives the road and decides what to do. Examples include cyclist hand signals, school buses, police officers and complex intersections.这些读者给出的理由,核心是:Used repeatedly in self-driving threads as a demonstration of how many real-world edge cases the Google/Waymo system already handled.它贴着当时的技术,看的时候要记得那是那个年份的判断。从2015年到2022年,有2位不同的读者在1个不同月份把它推荐出来,其中明确叫别人去看的有0次。适合一次性看完。讲者把一个判断讲透,演示是在给这个判断配例子。如果已经会了基本定义,就把注意力放在它怎么把self-driving cars变成能跟着复述的例子。
视频信息
- 频道
- TED
- 时长
- 15 分 30 秒
- 发布年份
- 2015
同主题更多
- How Self-Driving Cars will Destroy Cities (and what to do about it)
- Google Self-Driving Car Project | SXSW Interactive 2016
- Andrej Karpathy - AI for Full-Self Driving at Tesla
- George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles | Lex Fridman Podcast #31
- Traffic Has a Perfect Solution. Humans Are the Problem.
- George Hotz: Hacking the Simulation & Learning to Drive with Neural Nets | Lex Fridman Podcast #132