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Younghwa Jung

2 accepted papers

2022

Fast Point Clouds Upsampling with Uncertainty Quantification for Autonomous Vehicles

ICRA 2022poster

3D LiDAR is widely used in autonomous systems such as self-driving cars and autonomous robots because it provides accurate 3D point clouds of the surrounding environment under harsh conditions. However, a high-resolution LiDAR is expensive and bulky. Although a low-resolution LiDAR is compact and af…

Cited by 8SourceScholar
2021

Uncertainty-Aware Fast Curb Detection Using Convolutional Networks in Point Clouds

ICRA 2021poster

Curb detection is an essential function of autonomous vehicles in urban areas. However, curbs are difficult to detect in complex urban environments in which many dynamic objects exist. Additionally, curbs appear in a variety of shapes and sizes. Previous studies have been based on the traditional pi…

Cited by 20SourcecodeScholar