Imaging radar for automated driving functions

An Automated Stokesmetric Imaging Laser Radar System

We report the design and implementation of a high-speed, automated laser radar (LADAR) system with sensitivity enhanced by polarimetric imaging technique. This LADAR is able to analyze the Stokes vector of the reflected light from a target at video-rate. With a polarization state generator and a polarization state analyzer, the system is capable of performing a complete Mueller matrix imaging o...

Predicting of Machine Perception for Automated Driving

In the case of highly-automated and fully-automated driving it is necessary for the vehicle itself to recognize the limitations of its machine perception, as well as the functional limitations of processing modules based on this perception to react adequately. While simulator studies of highly-automated driving have shown that realistic transfer times to the driver of between 5 and 10 s can be ...

Radar Imaging for Combatting Terrorism

Radar, and in particular imaging radar, have many and varied applications to counterterrorism. Radar is a day/night all-weather sensor, and imaging radars carried by aircraft or satellites are routinely able to achieve high-resolution images of target scenes, and to detect and classify stationary and moving targets at operational ranges. Short-range radar techniques may be used to identify smal...

European Roadmap Smart Systems for Automated Driving

Policy Gradient Methods for Automated Driving

Automated driving requires designing a system capable of maintaining safety while simultaneously maintaining passenger comfort. Models of highway driving have high dimensionality and stochasticity traditionally specifying the histories for a large, varying number of agents in a continuous state and action space. Traditional value-based reinforcement learning methods require exponential time in ...