1 citations · 1 across the 4 of their papers we have counts for
4 papers
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
Karim Armanious, Maurice Quach, Michael Ulrich +25
This paper introduces the Bosch street dataset (BSD), a novel multi-modal large-scale dataset aimed at promoting highly automated driving (HAD) and advanced driver-assistance syste…
Radar Spectra-Language Model for Automotive Scene Parsing
Mariia Pushkareva, Yuri Feldman, Csaba Domokos +2
Radar sensors are low cost, long-range, and weather-resilient. Therefore, they are widely used for driver assistance functions, and are expected to be crucial for the success of au…
BIDCD -- Bosch Industrial Depth Completion Dataset
Adam Botach, Yuri Feldman, Yakov Miron +2
We introduce BIDCD -- the Bosch Industrial Depth Completion Dataset. BIDCD is a new RGBD dataset of metallic industrial objects, collected with a depth camera mounted on a robotic…
Depth Completion with RGB Prior
Yuri Feldman, Yoel Shapiro, Dotan Di Castro
Depth cameras are a prominent perception system for robotics, especially when operating in natural unstructured environments. Industrial applications, however, typically involve re…