54 citations · 105 across the 5 of their papers we have counts for
5 papers
Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
Estimating the traversability of terrain should be reliable and accurate in diverse conditions for autonomous driving in off-road environments. However, learning-based approaches o…
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance
Jihwan Bae, Junwon Seo, Taekyung Kim +3
Traversability estimation for mobile robots in off-road environments requires more than conventional semantic segmentation used in constrained environments like on-road conditions.…
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Junwon Seo, Taekyung Kim, Kiho Kwak +2
For the safe and successful navigation of autonomous vehicles in unstructured environments, the traversability of terrain should vary based on the driving capabilities of the vehic…
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty
Gwangtak Bae, Byungjun Kim, Seongyong Ahn +2
LiDAR is widely used to capture accurate 3D outdoor scene structures. However, LiDAR produces many undesirable noise points in snowy weather, which hamper analyzing meaningful 3D s…
Improving Gradient Flow with Unrolled Highway Expectation Maximization
Chonghyuk Song, Eunseok Kim, Inwook Shim
Integrating model-based machine learning methods into deep neural architectures allows one to leverage both the expressive power of deep neural nets and the ability of model-based…