Communications and sensing technologies have transformed the automotive industry. More and more, cars include features and systems to interact with their environment, gaining awareness of the ...
Probably the biggest trick to the adoption of full autonomy in the automotive space is learning how to safely achieve a level of perception that matches that of a human driver. Carmakers are rising to ...
Radar is cropping up everywhere in new car designs: sensing around the car to detect hazards and feed into decision making for braking, steering, and parking and in the cabin for driver and occupancy ...
What types of circuits are used for ADAS radar transmitters, receivers, and transceivers? Radar ICs currently on the market. The various levels of integration for these ICs. Radar systems are ...
This article is part of the TechXchanges: Automotive Radar and LiDAR Technology. Two new Vision digital signal processors (DSPs) plus a radar accelerator were developed by Cadence with an eye toward ...
Infineon announced the RASIC CTRX8181 transceiver – its next innovation radar and first product in a series of new 76 to 81 GHz radar MMICs based on 28-nm CMOS technology. Infineon announced the RASIC ...
Dublin, Jan. 09, 2025 (GLOBE NEWSWIRE) -- The "Automotive Millimeter-wave (MMW) Radar Industry Report, 2024" report has been added to ResearchAndMarkets.com's offering. The pace of mass-producing 4D ...
Chicago, June 02, 2025 (GLOBE NEWSWIRE) -- The global automotive radar market was valued at US$ 6.93 billion in 2024 and is expected to reach US$ 43.49 billion by 2033, growing at a CAGR of 25.20% ...
indie expects future vehicles to incorporate at least eight radar sensors to support a variety of function. Credit: asharkyu/Shutterstock. indie Semiconductor has partnered with GlobalFoundries to ...
Sameer Wasson, TI’s general manager of radar & analytic processors, recently told EE Times that after a year of pitching the company’s radar chips, his team is seeing substantial traction for both ...
Self-driving technology is likened to training the autonomous vehicle (AV) to drive like humans – or hopefully better than humans. Just as humans rely on their senses and cognitive responses for ...
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