A laser based ranger and direction finder (laser radar or LIDAR) is an active device that is able to determine both the distance and direction of a target by measuring the arrival time of an emitted light pulse reflected from the target and, simultaneously, scanning the optical beam. Operation of a LIDAR is based on the short duration, high peak power, small angular divergence and coherence of the laser emitted pulses. As both static and moving objects can be detected, and even the velocity of the latter can be determined, applications of such devices are widespread including 3-dimensional (3D) cartography, Doppler velocimetry or detecting and tracking of a moving object. The technology can be made suitable for integration into driver aiding systems. One such topic is to project a virtual dashboard at a viewing distance (Head-up Display or HUD), so that the driver can stay focused to the traffic.
Within the framework of these topics, the student would join the GINOP 188.8.131.52 project “Development of a sensor system capable of the reconnaissance of UAV objects” started in September 2017 targeting the detection and tracking of micro, mini and small sized unmanned aerial vehicles (UAV) by applying different methods including the LIDAR technique. Tasks: (1) Modelling and experimental investigation of the optical system of a LIDAR, so that the detection range and finding probability of the object could be maximized. (2) Elaboration of a (virtual) 3D displaying method that can aid to pick out the target object from its environment in real time. (3) Elaboration of a combined scanning and tracking method that can be used to simulate the path and movement of the target object even if the detected signal is below noise level or temporarily blocked.
The student will also join to the investigation of driver aiding intelligent displays. A HUD can be realized using one of several techniques: the goal of its optical system is to present a virtual image with useful information to the driver at a viewing distance. Tasks: (4) Investigation and construction of an experimental HUD. (5) Optimizing the presentation of the virtual 3D data of task 3 on this HUD.
Fluent English required. Good abstraction and math skills, fundamental knowledge of optics, optoelectronincs and laser physics. Interdisciplinary approach, high degree of self-support. Programming and fundamental remote sensing skills are preferred.