New Algorithm Helps Autonomous Cars Detect Pedestrians More Accurately: An UC San Diego …

Autonomous cars are here to stay, so why not make them as responsive as humans when it comes to detecting obstacles on the road such as pedestrians? UC San Diego researchers have devised a pedestrian detection algorithm that performs in near real-time with higher accuracy than existing systems. The algorithm developed by Nuno Vasconcelos, electrical engineering professor at the UC San Diego Jacobs School of Engineering and his team combines conventional computer vision architecture known as cascade detection along with deep learning models. ​ Normally, pedestrian detection systems break down the image captured by on-board cameras into small windows. These windows are then processed by a classifier to check the presence of pedestrians. Vasconcelos points out that this system requires much more processing power as pedestrians appear in different sizes…


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