no code implementations • 16 Nov 2020 • Seontaek Oh, Ji-Hwan You, Young-Keun Kim
The proposed network achieved higher compression with comparable accuracy compared to other deep CNN object detectors while showing improved accuracy than the lightweight detector baselines.
no code implementations • 24 Aug 2020 • Seontake Oh, Ji-Hwan You, Azim Eskandarian, Young-Keun Kim
A misalignment of LiDAR as low as a few degrees could cause a significant error in obstacle detection and mapping that could cause safety and quality issues.
no code implementations • 24 Aug 2020 • Ji-Hwan You, Seon Taek Oh, Jae-Eun Park, Azim Eskandarian, Young-Keun Kim
This paper presents a novel automatic calibration system to estimate the extrinsic parameters of LiDAR mounted on a mobile platform for sensor misalignment inspection in the large-scale production of highly automated vehicles.