Abstract: Object tracking is a major problem for many computer vision applications, but it continues to be computationally expensive. The use of bio-inspired neuromorphic event-driven dynamic vision ...

Modern smartphones are packed with incredible technology, from high-resolution cameras and advanced graphics chips to AI processors. In premium models, this hardware includes LiDAR (light detection ...

MOSCOW, 15th April, 2026 (WAM) -- A Russian researcher has developed algorithms that can rapidly determine spacecraft manoeuvre parameters using as few as one or two measurements from Earth, ...

The following figure outlines the high level structure of the algorithm, which covers the tasks of multi-modal sensor fusion and object tracking. The algorithm is developed for the Indy Autonomous ...

@article{zhou2020tracking, title={Tracking Objects as Points}, author={Zhou, Xingyi and Koltun, Vladlen and Kr{\"a}henb{\"u}hl, Philipp}, journal={ECCV}, year={2020} } Tracking has traditionally been ...

Abstract: Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle ...

Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...

We want to advance civil space traffic management and planetary defense for asteroids." The University of Colorado Boulder is leading a major Air Force project to track objects orbiting near the moon.