Fog's Phantom Grip on UAV Detection: The Case for Synthetic Clarity
Synthetic fog challenges UAV detection, but training with fog may offer a solid path forward. Restoration alone isn't enough.
Read the full articleYou might also wanna read
Quickest Change Detection for UAV-Based Sensing
This paper addresses the problem of quickest change detection (QCD) at two spatially separated locations monitored by a single unmanned aeri
Chinese research team develops HG-STR algorithm for autonomous drone swarm targeting
Smart web identifies objects as friend, foe or terrain, meaning drone swarms can hunt even when communication is jammed and vision blocked.
The ungoverned sky: Drones and the domestic extremist threat
The combination of easy accessibility and payload potential, and the limitations of domestic counter-drone systems, presents a growing chall
3D LiDAR Object Detection for Autonomous Driving: Training a Keypoint Feature Pyramid Network on the KITTI 360 Vision Dataset
In this research experiment, we will train a keypoint feature pyramid network for 3D LiDAR Object Detection on KITTI 360 Vision point-clouds
Generative AI improves a wireless vision system that sees through obstructions
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Generative AI improves a wireless vision system that sees through obstructions
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Comments
Sign in to join the conversation.
No comments yet. Be the first.