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EE 368 Final Project : Road Sign Detection and Distance Estimation in Autonomous Car Application

Autonomous vehicle technology is a popular topic that could increase vehicle safety and convenience. Today, autonomous cars are tested with multiple sensors including lidar, radar, and cameras. Vehicle perception and localization today relies on expensive sensors like a Velodyne that costs as much as $30,000; however, humans are able to use the equivalent of one or two cameras as enough information to drive on the road. In order for autonomous vehicles to become realistic for the general public, there needs to be a more cost effective way to accomplish object recognition and state estimation.