2 papers
cs.CV2020
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee +3
Datasets for autonomous cars are essential for the development and benchmarking of perception systems. However, most existing datasets are captured with camera and LiDAR sensors in…
eess.IV2019
Image-Guided Depth Upsampling via Hessian and TV Priors
Alireza Ahrabian, Joao F. C. Mota, Andrew M. Wallace
We propose a method that combines sparse depth (LiDAR) measurements with an intensity image and to produce a dense high-resolution depth image. As there are few, but accurate, dept…