4 papers
OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras
Chaesong Park, Jihyeon Hwang, Muyeol Sung +1
Omnidirectional depth estimation from multi-fisheye camera rigs is complicated by visibility conflicts: wide baselines cause different cameras to observe different portions, or eve…
LC-Flow: Learning Local Continuous Optical Flow and Confidence from events
Gunwoo Jeon, Chaesong Park, Jongwoo Lim
Event cameras capture brightness changes asynchronously with microsecond resolution, yet existing optical flow methods fail to fully exploit this temporal continuity. Frame-based a…
SC-Lane: Slope-aware and Consistent Road Height Estimation Framework for 3D Lane Detection
Chaesong Park, Eunbin Seo, Jihyeon Hwang +1
In this paper, we introduce SC-Lane, a novel slope-aware and temporally consistent heightmap estimation framework for 3D lane detection. Unlike previous approaches that rely on fix…
HeightLane: BEV Heightmap guided 3D Lane Detection
Chaesong Park, Eunbin Seo, Jongwoo Lim
Accurate 3D lane detection from monocular images presents significant challenges due to depth ambiguity and imperfect ground modeling. Previous attempts to model the ground have of…