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Mobileye to Shutter Lidar Development

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Mobileye, a developer of autonomous driving and driver assistance technology, will end the internal development of next-generation frequency modulated continuous wave (FMCW) lidars for use in autonomous and highly automated driving systems. The company said the decision to end lidar development was based on multiple factors, including progress on its EyeQ6-based computer vision perception, increased clarity on the performance of its internally developed imaging radar, and continued better-than-expected cost reductions in third-party time-of-flight lidar units.

“As part of our regular review of the long-term technology roadmap, we now believe that the availability of next-generation FMCW lidar is less essential to our roadmap for eyes-off systems,” the company said in a statement.

Mobileye’s lidar R&D unit will wind down by the end of 2024, affecting about 100 employees. Operating expenses for the unit are expected to total around $60 million in 2024, including approximately $5 million related to share-based compensation expenses. While the move is not expected to have a material impact on the company’s results in 2024, it will result in the avoidance of lidar development spending in the future, the company said.

In terms of the company’s internal sensor development, Mobileye named imaging radar as a strategic priority, calling it a core building-block technology that is expected to drive competitive advantage for Mobileye-based eyes-off systems in terms of scalability, cost, and performance optimization.
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Published: September 2024
Glossary
lidar
Lidar, short for light detection and ranging, is a remote sensing technology that uses laser light to measure distances and generate precise, three-dimensional information about the shape and characteristics of objects and surfaces. Lidar systems typically consist of a laser scanner, a GPS receiver, and an inertial measurement unit (IMU), all integrated into a single system. Here is how lidar works: Laser emission: A laser emits laser pulses, often in the form of rapid and repetitive laser...
advanced driver assistance systems
Advanced driver assistance systems (ADAS) refers to a set of safety features and technologies designed to assist drivers in the driving process and enhance overall vehicle safety. These systems use various sensors, cameras, radar, and other technologies to provide real-time information and automate certain aspects of driving. Common features of ADAS include: Collision avoidance systems: These systems can include forward collision warning, automatic emergency braking, and lane departure...
BusinesslidarSensors & DetectorsAutonomous drivingADASadvanced driver assistance systemsImagingFMCWfrequency-modulated continuous waveMobileyeEuropeMiddle EastIndustry News

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