Researchers at Heriot-Watt University, in collaboration with researchers from the University of Toulouse, France, have proposed a novel framework that combines statistical models with highly scalable computational tools from the computer graphics community to accurately extract the 3-D information in real-time (50 frames per second).

The novel method allows for target detection and imaging through cluttered scenes, enabling robust, target reconstruction of complex moving scenes, and a fore-runner for the eventual sensing technologies needed for long-range automotive sensing, a key capability for next generation driverless cars.

To read more, click here.