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Frank Julca-Aguilar

3 accepted papers

2022

Gated2Gated: Self-Supervised Depth Estimation From Gated Images

CVPR 2022oral

Gated cameras hold promise as an alternative to scanning LiDAR sensors with high-resolution 3D depth that is robust to back-scatter in fog, snow, and rain. Instead of sequentially scanning a scene and directly recording depth via the photon time-of-flight, as in pulsed LiDAR sensors, gated imagers e…

Cited by 20PDFcodeScholar
2021

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

ICCV 2021poster

Today's state-of-the-art methods for 3D object detection are based on lidar, stereo, or monocular cameras. Lidar-based methods achieve the best accuracy, but have a large footprint, high cost, and mechanically-limited angular sampling rates, resulting in low spatial resolution at long ranges. Recent…

Cited by 14PDFScholar