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Junior Member
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微軟翻譯
https://www.thestreet.com/technolog...-3-self-driving
引用:
The problem with Tesla's approach
特斯拉方法的問題
For a system to reach Level Three autonomy, it needs to have a baked-in redundancy in the event that the main system fails. This redundancy allows for the "eyes-off" approach.
對於一個系統來說，要達到三級自主性，它需要有一個內置的冗餘，以防主系統發生故障。這種冗餘允許“視而不見”的方法。
In a Tesla, the main system is the car's cameras and neural networks.
在特斯拉中，主要系統是汽車的攝像頭和神經網路。
"Humans drive with eyes & biological neural nets, so makes sense that cameras & silicon neural nets are only way to achieve generalized solution to self-driving," Musk said in 2021.
馬斯克在 2021 年表示：「人類用眼睛和生物神經網路駕駛，因此攝像頭和矽神經網路是實現自動駕駛通用解決方案的唯一途徑。
If that system fails, the only redundancy is the human driver.
如果該系統出現故障，唯一的冗餘就是人類駕駛員。
"In the Level Two system, you have cameras that are allowing the car to make driving decisions, but if they fail — and they can fail due to low light conditions or direct sun or a drop of water that blurs the camera — you need to have something to back it," Keilaf told TheStreet in an interview. In a Tesla, that backup sensor "is actually the driver," which means eyes have to stay on the road at all times.
“在二級系統中，你有攝像頭，可以讓汽車做出駕駛決定，但如果它們失敗了——它們可能由於光線不足條件或陽光直射或一滴水模糊了攝像頭而失敗——你需要有一些東西來支援它，”凱拉夫在接受採訪時告訴TheStreet。在特斯拉中，備用感測器“實際上是駕駛員”，這意味著眼睛必須始終盯著路面。
In order for an automated system to move away from Level Two, there would need to be a sensory backup.
為了讓自動化系統遠離二級，需要有一個感官備份。
"You need to have a sensor that can back the car, that can provide backup to the camera," Keilaf said. "The only sensor that is capable of seeing sufficient resolution and range etc. is the lidar; in order to move away the driver you need to add a lidar."
“你需要有一個可以支持汽車的感測器，可以為攝像頭提供備份，”凱拉夫說。“唯一能夠看到足夠解析度和範圍等的感測器是激光雷達;為了移開駕駛員，您需要添加雷射雷達。
Though Musk remains convinced of the power of his cameras and neural nets, Keilaf said that, at the moment, the only way to build in that redundancy is with lidar.
儘管馬斯克仍然相信他的攝像頭和神經網路的力量，但凱拉夫表示，目前，建立這種冗餘的唯一方法是使用雷射雷達。
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沒有「冗餘系統」的結果
https://bit.ly/4azUM5N
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