The Apollo sensor has completed field testing to demonstrate detection at 1 kilometre range
LiDAR specialist, AEye’s Apollo liDAR sensor has achieved good results during recent field testing where it consistently delivered high-resolution data at distances exceeding one kilometre. AEye believes this to be a first within the industry and demonstrates Apollo’s potential to significantly enhance both automotive safety and security applications.
In the most recent phase of testing, Apollo accurately detected vehicles and other objects on a busy road at distances beyond one kilometre. AEye has been conducting tests with customers, Tier 1 partners, and OEMs, and received overwhelmingly positive feedback as Apollo proved its ability to gather detailed, high-quality data over long distances. For automotive applications, this capability is crucial in allowing advanced driver assistance systems (ADAS) to detect objects from a longer distance, giving drivers more time to respond more effectively, especially at high speeds.
Matt Fisch, AEye CEO said, “The fact that we can deliver this kind of performance makes a strong case for 1550-nanometer technology as OEMs and others seek an ultra-long-range high-speed sensor in a small form factor. We believe Apollo’s performance at over one kilometre is the longest distance achieved by any liDAR sensor ever evaluated outside of a laboratory setting. We believe Apollo can meet all of NHTSA’s safety performance requirements, including their newest and toughest requirement of a forward collision warning which must be effective at speeds of up to 90 miles per hour. At the same time, Apollo’s small form factor does not require OEMs to compromise their design standards. We expect Apollo will play a critical role in the future of automotive safety.”
High-resolution data collection at long distances is essential for enhancing automotive safety and security applications. AI-based decision-making systems are significantly enhanced by long-range high-resolution data across a wide field of view allowing for quick identification and more time to react to objects and threats, which is particularly crucial for vehicle safety at highway speeds.
Another claimed benefit of Apollo is that it can significantly offload front-end complexity from AI-models which can expedite the development and deployment of embodied AI systems.
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