MIT researchers created a system that uses slight changes in shadows to predict whether or not a vehicle can expect a moving object to come around a corner.
Oct. 30, 2019—MIT researchers have created a system that uses slight changes in shadows to predict whether or not a vehicle can expect a moving object to come around a corner, according to TechCrunch.
The system employs standard optical cameras, and monitors changes in the strength and intensity of light using a series of computer vision techniques to arrive at a final determination of whether shadows are being projected by moving or stationary objects, and what the path of said object might be.
Right now, the system has only been tested in indoor lighting.
Learn how ADAS utilizes sensors such as radar, sonar, lidar and cameras to perceive the world around the vehicle, and either provide critical information to the driver or take...
Enhance your collision repair workflow with Autel’s IA900, a process-driven solution integrating precision alignment, bi-directional diagnostics, and ADAS calibration. Designed...
The Autel IA700 is a state-of-the-art and versatile wheel alignment pre-check and ADAS calibration system engineered for both in-shop and mobile applications...
