Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 06, March 2022

An Object-Driven Collision Detection with 2D Cameras using Artificial Intelligence and Computer Vision


Yang Liu1, Evan Gunnell2, Yu Sun2 and Hao Zheng3, 1George Washington University, USA, 2California State Polytechnic University, USA, 3ASML, USA


Autonomous driving is one of the most popular technologies in artificial intelligence. Collision detection is an important issue in automatic driving, which is related to the safety of automatic driving. Many collision detection methods have been proposed, but they all have certain limitations and cannot meet the requirements for automatic driving. Camera is one of the most popular methods to detect objects. The obstacle detection of the current camera is mostly completed by two or more cameras (binocular technology) or used in conjunction with other sensors (such as a depth camera) to achieve the purpose of distance detection. In this paper, we propose an algorithm to detect obstacle distances from photos or videos of a single camera.


Autonomous driving, computer vision, machine learning, artificial intelligence, distance detection, collision detection.