University of Cambridge > Talks.cam > Signal Processing and Communications Lab Seminars > Navigation and collision avoidance for aircraft and cars

Navigation and collision avoidance for aircraft and cars

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Autonomous vehicles require sensors and algorithms for (i) localization/navigation, (ii) mapping of stationary obstacles and landmarks, (iii) tracking of moving targets and (iv) collision avoidance. These subjects are usually treated separately in literature, though there are many interconnections. Model-based holistic approaches for cars and manned or unmanned aerial vehicles are presented, and preliminary results from our test platforms are presented.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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