PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot

no code implementations • 7 Apr 2024 • Shenbagaraj Kannapiran, Sreenithy Chandran, Suren Jayasuriya, Spring Berman

The study of non-line-of-sight (NLOS) imaging is growing due to its many potential applications, including rescue operations and pedestrian detection by self-driving cars.

Pathfinder Pedestrian Detection +1

Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification

no code implementations • 28 May 2019 • Sreenithy Chandran, Suren Jayasuriya

We achieve an average identification of 87. 1% object identification for four classes of objects, and average localization of the NLOS object's centroid with a mean-squared error (MSE) of 1. 97 cm in the occluded region for real data taken from a hardware prototype.