AEye Launches Software Designed to Run Inside Sensors of Autonomous Vehicles
Combining sensor modes that can measure speed, distance, orientation and semantic understanding in real-time enables a more robust virtual driver system,” said Sam Abuelsamid, principal analyst at Navigant Research. “Creating a perception system at the sensor level can potentially deliver more depth, nuance and critical information for improved prediction to feed into path planning systems than is possible with a 2D image-based system, which will be a boon to ADAS and autonomous vehicle initiatives.”
The newly launched sensor system will help to increase the level of autonomous features that are present in various vehicles. By doing this, it provides automakers with an opportunity to allow the proper amount of autonomy for any desired use case – including the most challenging edge cases – in essence, providing autonomy “on demand” for ADAS, mobility and adjacent markets.
According to reports released, “AEye’s achievement is the result of its flexible iDAR platform that enables intelligent and adaptive sensing. AEye’s approach solves one of the most difficult challenges for the autonomous industry as it seeks to deliver perception at speed and at range: improving the reliability of detection and classification, while extending the range at which objects can be detected, classified and tracked. The sooner an object can be classified and its trajectory accurately forecasted, the more time the vehicle has to brake, steer or accelerate in order to avoid collisions.”
“We believe the power and intelligence of the iDAR platform transforms how companies can create and evolve business models around autonomy without having to wait for the creation full Level 5 Robotaxis,” said Blair LaCorte, president of AEye. “Automakers are now seeing autonomy as a continuum, and have identified the opportunity to leverage technology across this continuum. As the assets get smarter, OEMs can decide when to upgrade and leverage this intelligence. Technology companies that provide software-definable and modular hardware platforms now can support this automotive industry trend.”
