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Elon Musk calls self-driving laser sensors 'lame' at Tesla's Autonomy Day


As Elon Musk made clear Monday, the technology most of his competitors in the self-driving car space use to help vehicles detect what's around them is lame. And his option is way better. "LiDAR is a fool's errand," he quipped about the laser-emitting tool that, in the simplest terms, acts as eyes for autonomous cars. "Anyone who is relying on LiDAR is doomed." That's pretty much most of the businesses testing self-driving cars, including Waymo and Uber who went to court over LiDAR technology last year.

Self-Driving Vehicle Technology

Communications of the ACM

Automakers have already spent at least $16 billion developing self-driving technology, with the promise of someday creating fully autonomous vehicles.2 What has been the result? Although it seems that we have more promises than actual progress, some encouraging experiments are now under way, and there have been intermediate benefits in the form of driver-assist safety features. Engineers started on this quest to automate driving several decades ago, when passenger vehicles first began deploying cameras, radar, and limited software controls. In the 1990s, automakers introduced radar-based adaptive cruise control and dynamic traction control for braking.

How Data Labeling Services Empower Self-Driving Industry 2021? -- Part4


If you are not as paranoid as Musk, automatic driving may not need to divide any technical routes, but only need to optimize the technology. But standing on the opposite side of lidar, Tesla may have missed the best time to develop fully autonomous driving. Lidar is not to replace millimeter-wave radar and vision, but to match with other sensors as a heterogeneous sensor. Through these three different sensors, a heterogeneous fusion can be made to ensure the overall perception security and improve sensitivity and accuracy. Different from the traditional mechanical rotary lidar, Suteng, a Chinese company mainly adopt MEMS technology, which has the advantages of small volume, easy integration, low energy consumption, and low cost.

What Lidar Is and Why It's Important for Autonomous Vehicles


At some point in the near future--how near depends on who you ask--autonomous vehicles (AVs) will become a common sight on the roads. Without the need for a driver or human input, AVs, which are also known as self-driving cars, will require sensors and computers working together to read the road and surrounding environment. Most of the advanced driver aids in the wild today use a combination of radar and sonar to deliver warnings on unseen threats and to help stop a vehicle before a collision occurs. Lidar is a technology that can perform similar functions to radar and sonar, but it's a next-generation system that may represent the best option for AVs' ability to "see." As automakers and other companies move through testing and real-world drives, it has become clear that next-generation sensors and tech offer intriguing functionality but are not the silver bullet that many thought they'd be at first.

Could thermal sensors have prevent Uber's fatal crash?


Those questions have dominated the great sensor debate in self-driving technology. But there's been less attention paid to the promise of thermal sensing. Following the highly publicized fatality in Arizona involving one of Uber's self-driving vehicles, the case for thermal has gotten a lot stronger. Now companies like FLIR Systems and AdaSky, which make competing thermal cameras, are hitting the publicity trail to press their case to a public that's newly wary of the blistering pace of development of self-driving vehicles. At issue are the compromises inherent in any sensor technology.