Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

03/29/2022
by   Dongkwon Jin, et al.
0

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 structurally diverse lanes, including curved, as well as straight, lanes. To obtain eigenlanes, we perform the best rank-M approximation of a lane matrix containing all lanes in a training set. Second, we generate a set of lane candidates by clustering the training lanes in the eigenlane space. Third, using the lane candidates, we determine an optimal set of lanes by developing an anchor-based detection network, called SIIC-Net. Experimental results demonstrate that the proposed algorithm provides excellent detection performance for structurally diverse lanes. Our codes are available at https://github.com/dongkwonjin/Eigenlanes.

READ FULL TEXT

page 1

page 4

page 5

page 6

page 7

page 8

research
08/22/2023

Recursive Video Lane Detection

A novel algorithm to detect road lanes in videos, called recursive video...
research
04/14/2021

Harmonious Semantic Line Detection via Maximal Weight Clique Selection

A novel algorithm to detect an optimal set of semantic lines is proposed...
research
03/29/2022

Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation

Novel contour descriptors, called eigencontours, based on low-rank appro...
research
10/22/2020

Keep your Eyes on the Lane: Attention-guided Lane Detection

Modern lane detection methods have achieved remarkable performances in c...
research
11/09/2020

End-to-end Lane Shape Prediction with Transformers

Lane detection, the process of identifying lane markings as approximated...
research
11/01/2020

3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation

3D-LaneNet+ is a camera-based DNN method for anchor free 3D lane detecti...
research
04/12/2023

Rail Detection: An Efficient Row-based Network and A New Benchmark

Rail detection, essential for railroad anomaly detection, aims to identi...

Please sign up or login with your details

Forgot password? Click here to reset