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At Foresight, we’re dedicated to perfecting automotive vision systems that will shape the future of autonomous driving. Our blog is the home for sharing our news, insights and expertise in the field of stereoscopic technology and thermal imaging.
It’s critical for autonomous vehicles to know if their sensors lost accuracy or calibration. Learn about our unique capabilities to lead the world to the next level of self driving cars.
We live in a colorful world where road signs are in colors for easy detection and understanding. The risk level increases dramatically at night and unfortunately that is when most of the fatal accidents occur.
Perceiving the world in 3D is vital. This is probably why humans have two eyes. If this is true for the human brain shouldn’t this apply to autonomous vehicles as well?
Harsh weather and lighting conditions compromise Autonomous Vehicle camera performance. Additional imaging systems are required such as thermal cameras to reach full self driving. Foresight achieves complete AI sensor fusion between LWIR and RGB cameras.
Active sensors such as LiDARs and radars can suffer from mutual interference between vehicles equipped with the same sensor technology. Might this pose a risk to other autonomous vehicles around them?
The core differences between detection abilities of the two methods We get asked this question a lot: why would we need a stereo vision system
