{"id":1486,"date":"2020-06-08T19:39:16","date_gmt":"2020-06-08T11:39:16","guid":{"rendered":"https:\/\/www.neuvition.cn\/?p=1486"},"modified":"2020-06-30T15:58:38","modified_gmt":"2020-06-30T07:58:38","slug":"the-core-autonomous-technology-solid-state-lidar","status":"publish","type":"post","link":"https:\/\/www.neuvition.cn\/media\/blog\/the-core-autonomous-technology-solid-state-lidar.html","title":{"rendered":"The Core Autonomous Technology — Solid State LiDAR"},"content":{"rendered":"
On the morning of June 1, 2020, a Tesla model3 autonomous driving\u00a0crashed into a overturned truck on national highway 1 in Taiwan, China.<\/p>\n
According to a preliminary investigation by the highway police department, Mr. Huang, the Tesla driver, said his Model\u00a03 was on autopilot and traveling at about 110 kilometers per hour at the time of the crash.<\/p>\n
<\/p>\n
As soon as he saw the truck, Mr. Huang said, he braked.\u00a0But it was too late to stop now, and it hit the roof of the overturned lorry.<\/p>\n
Aside from the accident itself, why is Tesla’s autopilot so prone to problems?\u00a0\u00a0let’s take a closer look at Tesla’s core technology.<\/p>\n
Tesla currently uses\u00a0binocular cameras do depth of technical solution, and the millimeter wave radar.\u00a0In case of pure color of the object (white truck), binocular cameras and millimeter wave radar failure happened, which were unable to make real-time induction, this depth produced by the algorithm was\u00a0not true. And might fail to work in a specific scenario, which cannot provide adequate security for autonomous\u00a0driving.<\/p>\n
To prevent the accident from happening again, the problem needs to be solved fundamentally.\u00a0In any environment, only accurate measurement can guarantee the safety of autopilot.\u00a0Currently rare technology could solve this problem in the market.<\/p>\n