Runway detection in LWIR video: Real time image processing and presentation of sensor data
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Runway detection in long wavelength infrared (LWIR) video could potentially increase the number of successful landings by increasing the situational awareness of pilots and verifying a correct approach. A method for detecting runways in LWIR video was therefore proposed and evaluated for robustness, speed and FPGA acceleration.
The proposed algorithm improves the detection probability by making assumptions of the runway appearance during approach, as well as by using a modified Hough line transform and a symmetric search of peaks in the accumulator that is returned by the Hough line transform.
A video chain was implemented on a Xilinx ZC702 Development card with input and output via HDMI through an expansion card. The video frames were buffered to RAM, and the detection algorithm ran on the CPU, which however did not meet the real-time requirement. Strategies were proposed that would improve the processing speed by either acceleration in hardware or algorithmic changes.
Place, publisher, year, edition, pages
2016. , 54 p.
UPTEC F, ISSN 1401-5757 ; 16044
LWIR, FPGA, Zynq, Runway, Hough transform, Real-time
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:uu:diva-300690OAI: oai:DiVA.org:uu-300690DiVA: diva2:951922
Master Programme in Engineering Physics
2016-06-27, Ångström 11167, Lägerhyddsvägen 1, Uppsala, 22:04 (Swedish)
Hast, Anders, UniversitetslektorNyberg, Tomas