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Human Detection from 4D Radar Data in Low-Visibility Field Conditions
The CNN is trained to distinguish between the background and person classes based on a series of 2D projections of the 4D radar data that include the elevation, azimuth, range, and Doppler velocity dimensions.
Improving the Iterative Closest Point Algorithm using Lie Algebra
Applications that require accurate maps, such as environmental monitoring, benefit from additional sensor modalities that reduce such drift.
Robotics
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