1 citations · 1 across the 4 of their papers we have counts for
4 papers
RCDPT: Radar-Camera fusion Dense Prediction Transformer
Chen-Chou Lo, Patrick Vandewalle
Recently, transformer networks have outperformed traditional deep neural networks in natural language processing and show a large potential in many computer vision tasks compared t…
Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild
Xueyang Kang, Ariel Herrera, Henry Lema +2
In this paper, we present a Computer Vision (CV) based tracking and fusion algorithm, dedicated to a 3D printed gimbal system on drones operating in nature. The whole gimbal system…
How Much Depth Information can Radar Contribute to a Depth Estimation Model?
Chen-Chou Lo, Patrick Vandewalle
Recently, several works have proposed fusing radar data as an additional perceptual signal into monocular depth estimation models because radar data is robust against varying light…
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
Chen-Chou Lo, Patrick Vandewalle
We integrate sparse radar data into a monocular depth estimation model and introduce a novel preprocessing method for reducing the sparseness and limited field of view provided by…