Image Credit: metamorworks/Shutterstock.com The success or failure of an autonomous vehicle currently depends on how effectively its driving system can handle split-second decisions in hazardous situations. To make driverless cars safer and more commercially viable, the AUTOVISION Spearhead Project from the Europe-based Graphene Flagship consortium is currently creating a new graphene-based, high-resolution image sensor. It will help to quickly identify obstacles and abrupt road changes, even in unusual and challenging driving conditions. How will the AUTOVISION Spearhead Project Revolutionize Current Self-Driving Technology? Current self-driving vehicle sensor technology makes use of visible-light cameras to identify obstacles and changes in road conditions. However, these cameras are inadequate in heavy fog. Autonomous cars also employ LiDAR sensors, which involve laser pulses being sent out and reflected back to gauge distances and scan the surrounding area. Unfortunately, LiDAR technology is too slow for use in vehicle accident avoidance.