AI & ML
The
History of Self-Driving Cars : Computer Vision and Deep Learning
Using a combination of sensors , artificial intelligence , radars , and cameras to operate , autonomous vehicles don ’ t need any human intervention . Powered by AI , these vehicles are , in some cases , still in the development stage , with many developers looking to computer vision as a means of rendering their vehicles more reliable .
“ When driving a car , it ’ s essential that we accurately see and interpret the information around us . Over many years , computer vision has developed techniques that enable the capture and processing of video to automate tasks . This technology has created the foundations for AI-based decision making in self-driving cars ,” says
“ COMPUTER VISION TRIES TO UNDERSTAND , FROM A PHYSIOLOGICAL SENSE , HOW OUR BRAINS ARE ABLE TO PERCEIVE OUR VISUAL WORLD ”
APPU SHAJI CEO AND CHIEF SCIENTIST , MOBIUS LABS
Gilberto Rodriguez , Director of Product Management at Imagination Technologies . As a core technology for autonomous vehicles , computer vision enables cars to leverage object detection algorithms in combination with advanced cameras and sensors to analyse their surroundings in real-time , enabling recognition of things like pedestrians , road signs , barriers , and other vehicles to safely navigate the road .
With these capabilities , Rodriguez believes that the technology will be critical to the development of such vehicles in the future , noting that “ computer vision will continue to be a key technology in enabling autonomous vehicles , with the camera remaining the preferred sensor for data collection .”
148 September 2022