Science Daily January 17, 2023
For detecting a potential collision at night to alert the driver or, maneuvering system of an autonomous vehicle, current technologies utilize resource draining and expensive solutions such as LiDAR or image sensors coupled with extensive software running sophisticated algorithms. In contrast, insects perform the same task of collision detection with frugal neural resources. Researchers at Pennsylvania State University have shown that insect-inspired collision detection algorithms, when implemented in conjunction with in-sensor processing and enabled by innovative optoelectronic integrated circuits based on atomically thin and photosensitive memtransistor technology, can greatly simplify collision detection at night. The collision detector eliminates the need for image capture and image processing yet demonstrates timely escape responses for cars on collision courses under various real-life scenarios at night. The detector has a small footprint of ∼40 μm2 and consumes only a few hundred picojoules of energy…read more. TECHNICAL ARTICLEÂ
Graphical abstract. Credit: ACS Nano 2022, XXXX, XXX, XXX-XXX, December 30, 2022Â