ADAS in Autonomous Driving

Abstract

With the United States gradually accommodating self-driving vehicles on public roads and Singapore passed legislation of no human driver in the driving car, artificial intelligence has tremendously spurred the technology in automated and assisted driving. During testing, the self-driving car has driven ten billion miles in simulation. In actual driving, the UK has set a milestone in self-driving vehicle history when a modified Nissan Leaf completes a 370 km journey autonomously. The car equipped with a radar sensor, seven cameras, and eight LiDAR sensors altogether feed data to six electronic control units. In general terms, the autonomous vehicle system must be capable of receiving several features from processing to control. In an automated car, new functionalities explored are Active Distance Assistance, Active Lane Keeping Assist, Active Blind Spot Assist, Active Lane Change Assist, Active Speed Limit Assist, Active Emergency Stop Assist, Active Brake Assist, Traffic Sign Assist, Active Parking Assist, Remote Parking Assist, and Car-to-everything Communication. ADAS, autonomous driving, vehicle dynamics, braking, steering, powertrain controls, etc. are the many embedded software control systems. These embedded systems strictly conform to the vehicle safety standard, which lay across the automotive industry. In accommodating these control systems, autonomous vehicles have several sensing tasks. The followings are the tasks in a self-driving car.