Self-driving cars sometimes struggle with crashes because their visual systems can’t always process static or slow-moving objects in 3D space. This issue is reminiscent of the monocular vision found in many insects, which excels at motion-tracking but lacks depth perception. However, the praying mantis stands out with its exceptional vision, thanks to its binocular depth perception.
Inspired by the praying mantis, researchers at the University of Virginia School of Engineering and Applied Science have developed artificial compound eyes that address significant limitations in current visual data collection and processing systems. These limitations include accuracy issues, data processing lag times, and the need for substantial computational power.
Continue reading… “Mimicking Mantis Vision: A Breakthrough in Artificial Eyes for Autonomous Systems”
