Tesla is Replacing Its Radar Sensors with More Cameras
Colin Smith — March 3, 2022 — Autos
Tesla is continuing its 'Tesla Vision' initiative which outlines the automaker's intent to have vehicle safety features run through onboard cameras. The desire to replace radar sensors with onboard cameras comes from the inherent reliability of cameras as opposed to sensors.
Tesla CEO Elon Musk stated that Tesla Vision has become "so good that radar actually reduced SNR," where "SNR" refers to signal-to-noise ratio, meaning that the use of radar began creating more interference than it was worth. This means that the vehicle's camera systems are so comprehensive that the radar became an unnecessary component in self-driving. Musk goes on to affirm that humans drive with eyes, so an easy solution to create reliable self-driving cars is to use cameras that essentially act as mechanized eyes.
Image Credit: Tesla
Tesla CEO Elon Musk stated that Tesla Vision has become "so good that radar actually reduced SNR," where "SNR" refers to signal-to-noise ratio, meaning that the use of radar began creating more interference than it was worth. This means that the vehicle's camera systems are so comprehensive that the radar became an unnecessary component in self-driving. Musk goes on to affirm that humans drive with eyes, so an easy solution to create reliable self-driving cars is to use cameras that essentially act as mechanized eyes.
Image Credit: Tesla
Trend Themes
1. Camera-based Self-driving - The shift towards camera-based self-driving technology replacing radar and other sensors provides opportunities for the advancement of software that enhances the ability for electric vehicles to navigate and avoid accidents.
2. Multi-camera Systems Integration - The switch to camera-based vehicle safety features opens up opportunities to create sophisticated integrations with multi-camera systems that can enhance safety on highways and in everyday driving conditions.
3. Automotive Artificial Intelligence - The integration of large amounts of camera-based data into self-driving technology creates new use cases for the development of AI, opening up opportunities for AI technology providers to develop cutting-edge algorithms and software that can improve the safety and reliability of electric vehicles.
Industry Implications
1. Automotive Manufacturing - Automakers can leverage the switch to camera-based systems and the development of AI-based solutions for EV safety to create differentiated products and lead disruption in the industry.
2. Hardware Manufacturing - The rise of camera-based safety systems provides opportunities for the development of new hardware such as high-resolution cameras, lenses, and storage solutions that can enhance electric vehicles' capabilities.
3. Artificial Intelligence (AI) Solutions - The development of new AI-based solutions tailored to camera-based vehicle safety systems presents significant growth opportunities for AI solution providers to help EV manufacturers improve EV capabilities and raise the bar for automotive safety.
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