Self-Driving Cars Toyota presents new Lexus LS500 with 4 lidars |
- Toyota presents new Lexus LS500 with 4 lidars
- "Mobileye could leave Israel in an instant"
- Self-Driving Tech Is Becoming a Game of Partnerships
- Q&A: The Masterminds Behind Toyota’s Self-Driving Cars Say AI Still Has a Way to Go
- An Open Source AV SWE Guide for CS Students and Software Engineers
- Mobileye isn't being given the credit it deserves for being #1 by a lot (it gets the most miles per day too!)
- Aurora Innovation - Our Independent Path to Commercialization
- Amazon Acquires Zoox, An African Led Self-Driving Start-Up
| Toyota presents new Lexus LS500 with 4 lidars Posted: 07 Jul 2020 02:44 AM PDT
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| "Mobileye could leave Israel in an instant" Posted: 07 Jul 2020 12:11 PM PDT
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| Self-Driving Tech Is Becoming a Game of Partnerships Posted: 07 Jul 2020 02:00 PM PDT
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| Q&A: The Masterminds Behind Toyota’s Self-Driving Cars Say AI Still Has a Way to Go Posted: 07 Jul 2020 03:39 AM PDT
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| An Open Source AV SWE Guide for CS Students and Software Engineers Posted: 06 Jul 2020 03:48 PM PDT Hello! TLDR; Open source guide for CS students to learn about SWE in AVs; start contributing I'm going to keep this post as succinct as possible, and answer any questions in the follow-ups/PMs you may have. Recently, after failing to find a centralized roadmap/guide for computer science students to learn more about software development in autonomous vehicles, I created an open source guide to serve that very purpose. It will serve as a structured guide, composed of compiled external resources (research papers, videos, etc), some project-specific written content, diagrams, and tutorials within the project (ROS, OpenCV, Carla) to help those interested in learning more. Here is the GitHub project: https://github.com/tabaddor/av-swe-guide I do not nearly have the amount of time and knowledge to write and maintain this project alone, which is why I am reaching out to Reddit to help along the way. As of now, a very basic README, contributing guide, resources, tutorials (ROS is about done), etc are up, along with basic issues people can start taking a crack at. This guide is not necessarily supposed to be filled with paragraphs upon paragraphs of information, but rather, provide a centralized, structured doc/guide that users can refer to. Similar to a lot of roadmaps for stuff like web development and interview practice. Another thing I am hoping for the project to have, is information regarding internship and full-time positions for companies working on AV technologies. My vision, hopefully, is that this becomes the go-to resource for autonomous vehicle software development for computer science students and software engineers. The current skeleton of the project on GitHub should be pretty self-explanatory, but still feel free to ask any questions, shoot me a PM, or simply start contributing. Looking forward to see what this becomes, Yurroff [link] [comments] | ||
| Posted: 07 Jul 2020 06:32 AM PDT Are there any arguments that favor Tesla (who is the most public about their Full self drive [fsd] and other autonomous companies) over Mobileye? It seems Tesla's shareholders seem to ignore this competitor who started a very long time ago—in 1991. Also, Tesla is actually ranked last by many reports (Source: Tesla last report: https://blogs.nvidia.com/blog/2020/03/23/nvidia-leads-autonomous-vehicle-report/ this is a report by Navigant posted in an Nvidia blog—the full report is $4,000 hence I haven't been able to read it but we can get snippets online) but a lot of people seem to think they have a bright future because they think they collect the most miles per day ( not actually true ) 1) Mobileye system uses only cameras. This is Tesla's claim to fame because cameras are cheap hence it makes sense. But, in addition, Mobileye has a separate system that uses LIDAR for redundancies. There is no evidence using only camera is good or is sufficient; the only argument is its cheaper. The fact is Tesla is betting the future on only cameras being possible. Every other car company is going with mostly Lidar. Mobileye is the only one hedging their bets and doing both. Likely because they started (like Tesla did in EV very early in 1991). Mobileye has the first mover advantage by a long shot. Hence they are able to develop both while most companies are scrambling to do one. 2) You can watch Mobileye drive 20 mins through Jerusalem. Tesla has a rather embarrassing 2 minute clip (it's embarrassing as there is no audio, it's short and it's at 100 X speed--its car also seems to be going far too fast around turns). Source: https://www.youtube.com/watch?v=kJD5R_yQ9aw. Tesla's clip https://www.youtube.com/watch?v=tlThdr3O5Qo&t=6s 3) You can watch Mobileye's technology right now in cars like the Volkwagen travel: https://amp.reddit.com/r/SelfDrivingCars/comments/e9m68b/volkswagens_new_travel_assist_navigating_through/ 4) Mobileye makes HD maps, Tesla doesn't make that. In fact Tesla dismisses the technology. Why because they can't do it or because it's not necessary? A map would be similar to a human already being in an area before. It would clearly come in handy and would reduce overall accidents by a computer. The fact is the technology must still be able to operate in new environments but maps add to redundancies. With no maps, your machine is always seeing the world for the first time or the machine has less information in a new environment hence it is more risky. 5) Mobileye drives more per day at 6 M km as it is in a lot of OEM's, pg 39 https://s21.q4cdn.com/600692695/files/doc_presentations/2020/1/Mobileye-CES-2020-presentation.pdf 6) Mobileye is led by a professor who has published many papers and won awards in autonomous. He doesn't just talk the talk, the guy has been here from the near beginning of autonomous. https://en.wikipedia.org/wiki/Mobileye#Awards_and_recognition 7) Mobileye's chip (is not an intel chip) and uses less power than Tesla's or any other competitor. 10 watts for the EyeQ5 https://en.wikichip.org/wiki/mobileye/eyeq/eyeq5#:~:text=EyeQ5%20is%20Mobileye's%20fifth%2Dgeneration,from%20at%20least%204%20OEMS. compared to Tesla's 36 for Tesla https://en.wikichip.org/wiki/tesla_(car_company)/fsd_chip In what world, is Mobileye not #1 by a longshot. And why do people talk about Tesla/Waymo and other FSD companies? The comparisons are always Tesla vs. Waymo, which seems crazy. Perhaps because Mobileye is no longer public--it is forgotten? This is wrong as it is making a lot noise. Tesla's only good argument is we get the most data. But in fact, Mobileye gets more data! So Tesla's best argument is checkmated. (it also seems Nvidia is now in a lot of OEMS so they may also be hunting down Tesla soon). I see Mobileye releasing their autonomous taxis in 2 years and the rest will be history. Also, the last negative for Tesla is their fleet only drove fully autonomous for 12.2 miles last year through this video. You would have to think that a combination of tracking miles + having your fleet driven by itself will be very important. Right now an autonomous computer can pick up tons of info from being driven around without autonomous enabled but you'd think you would also want to drive around a bunch of autonomous cars like Mobileye and Waymo is doing. This again bodes well for Mobileye as they drive around a fleet of driverless cars + they get this data (similar to Tesla). [link] [comments] | ||
| Aurora Innovation - Our Independent Path to Commercialization Posted: 06 Jul 2020 08:32 PM PDT
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| Amazon Acquires Zoox, An African Led Self-Driving Start-Up Posted: 07 Jul 2020 12:51 AM PDT
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