1 citations · 1 across the 7 of their papers we have counts for
7 papers · 1 filter
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection
Dongkwon Jin, Chang-Su Kim
A novel algorithm for video lane detection is proposed in this paper. First, we extract a feature map for a current frame and detect a latent mask for obstacles occluding lanes. Th…
Semantic Line Combination Detector
Jinwon Ko, Dongkwon Jin, Chang-Su Kim
A novel algorithm, called semantic line combination detector (SLCD), to find an optimal combination of semantic lines is proposed in this paper. It processes all lines in each line…
Recursive Video Lane Detection
Dongkwon Jin, Dahyun Kim, Chang-Su Kim
A novel algorithm to detect road lanes in videos, called recursive video lane detector (RVLD), is proposed in this paper, which propagates the state of a current frame recursively…
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong +2
A novel algorithm to detect road lanes in the eigenlane space is proposed in this paper. First, we introduce the notion of eigenlanes, which are data-driven descriptors for structu…
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching
Dongkwon Jin, Jun-Tae Lee, Chang-Su Kim
A novel algorithm to detect semantic lines is proposed in this paper. We develop three networks: detection network with mirror attention (D-Net) and comparative ranking and matchin…
Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation
Wonhui Park, Dongkwon Jin, Chang-Su Kim
Novel contour descriptors, called eigencontours, based on low-rank approximation are proposed in this paper. First, we construct a contour matrix containing all object boundaries i…