HATS: a new event-based object classification method
A paper recently published by Prophesee’s team presents HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification.
EVENT: Prophesee at CVPR
Computer Vision and Pattern Recognition Conference 2018 – Prophesee will be attending the 2018 CVPR conference in Salt Lake City, Utah, from June 18th to 22nd. CVPR is the top conference in the world for computer vision, selectively uniting industry leaders to...
EVENT: Prophesee launches Onboard at CONTROL
Prophesee will present ONBOARD, the first event-based reference system, at CONTROL 2018 CONTROL trade fair 2018 – Prophesee will be attending CONTROL from April 24th to 27th in Stuttgart. CONTROL is an international trade fair for quality assurance uniting...
ARTICLE: EE Times
In the fast-growing markets for factory automation, IoT, and autonomous vehicles, CMOS image sensors appear destined for a role capturing data not for human consumption but for machines to see what they need to make sense of the world.
Dataset N-Cars
Download Prophesee’s N-CARS dataset, a large real-world event-based car classification dataset composed of 12,336 car samples and 11,693 non-cars samples.