Decklar (formerly Roambee) today announced the launch of RADAR (Real-time Alert Detection And Response), a next-generation, AI-native Logistics Control Tower Platform that unifies real-time visibility ...

Traumatic brain injury (TBI) remains one of the most pressing public health challenges, leaving millions with lasting ...

Abstract: Multimodal object detection is crucial for autonomous driving and intelligent surveillance. However, the existing methods face critical challenges, such as cross-modal semantic misalignment ...

These aren’t your cousin’s AliExpress DJI knockoffs. These are battlefield-grade ISR drones powered by onboard neural ...

Detecting objects in foggy scenes remains a persistent challenge, as detectors trained for fair weather often struggle with foggy data due to blurring effects. Previous methods based on domain ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Body camera video captured the moment that Baltimore County police confronted a high school student after an A.I. gun detection system mistakenly determined that a student had a weapon. County leaders ...

Chiron's changing environment, detailed in a paper published Oct. 14 in the Astrophysical Journal Letters, could help scientists understand how both small icy objects as well as giant planets like ...

4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...