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20232025
most citedEvidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference

2 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

E2-BKI: Evidential Ellipsoidal Bayesian Kernel Inference for Uncertainty-aware Gaussian Semantic Mapping

Junyoung Kim, Minsik Jeon, Jihong Min +2

Semantic mapping aims to construct a 3D semantic representation of the environment, providing essential knowledge for robots operating in complex outdoor settings. While Bayesian K…

cs.CV2024★ 1 cited

OW-Rep: Open World Object Detection with Instance Representation Learning

Sunoh Lee, Minsik Jeon, Jihong Min +1

Open World Object Detection(OWOD) addresses realistic scenarios where unseen object classes emerge, enabling detectors trained on known classes to detect unknown objects and increm…

cs.RO2024★ 1 cited

Uncertainty-aware Semantic Mapping in Off-road Environments with Dempster-Shafer Theory of Evidence

Junyoung Kim, Junwon Seo

Semantic mapping with Bayesian Kernel Inference (BKI) has shown promise in providing a richer understanding of environments by effectively leveraging local spatial information. How…

cs.RO2024★ 2 cited

Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference

Junyoung Kim, Junwon Seo, Jihong Min

Robotic mapping with Bayesian Kernel Inference (BKI) has shown promise in creating semantic maps by effectively leveraging local spatial information. However, existing semantic map…

cs.RO2024

UFO: Uncertainty-aware LiDAR-image Fusion for Off-road Semantic Terrain Map Estimation

Ohn Kim, Junwon Seo, Seongyong Ahn +1

Autonomous off-road navigation requires an accurate semantic understanding of the environment, often converted into a bird's-eye view (BEV) representation for various downstream ta…

cs.CV2023★ 1 cited

DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditions

Minsik Jeon, Junwon Seo, Jihong Min

Despite the success of deep learning-based object detection methods in recent years, it is still challenging to make the object detector reliable in adverse weather conditions such…

cs.RO2023★ 2 cited

METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation

Junwon Seo, Taekyung Kim, Seongyong Ahn +1

Autonomous navigation in off-road conditions requires an accurate estimation of terrain traversability. However, traversability estimation in unstructured environments is subject t…