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Research into reactive collision avoidance for unmanned aerial vehicles has been conducted on unmanned terrestrial and mini aerial vehicles utilising active Doppler radar obstacle detection sensors. Flight tests conducted by flying a mini UAV at an obstacle have confirmed that a simple reactive collision avoidance algorithm enables aerial vehicles to(More)
Autonomous vehicle operations in outdoor environments challenge robotic perception. Construction, mining, agriculture, and planetary exploration environments are examples in which the presence of dust, fog, rain, changing illumination due to low sun angles, and lack of contrast can dramatically degrade conventional stereo and laser sensing. Nonetheless,(More)
• Autonomous driving is a challenging problem in outdoor environments. • In addition, field scenarios are often characterized by low visibility conditions (presence of dust, fog, rain, changing illumination conditions). an outdoor setting. • In this paper, we propose the use of millimeter-wave radar for scene understanding and autonomous navigation. o Radar(More)
This paper presents a method for the fusion of mm-Wave Radar and Nightvision data. This method differs from traditional approaches in that the information is combined before any judgement is made regarding the number , type or location of any objects within the sensor field. The characteristic information is combined and is shown to yield an environmental(More)
This paper addresses the issue of creating a sensor model for a new short-range 24GHz close proximity detection (CPD) radar. The CPD radar is designed to provide improved situational awareness to the driver of a large vehicle. It is able to detect light vehicles and other targets at ranges from 2.2m to 45m within an arc of 160° azimuth, but radar(More)