Crosswalk detection based on laser scanning from moving vehicle

Authors: Cáceres Hernández, Danilo; Filonenko, Alexander; Seo, Dongwook; Hyun Jo, Kang

Description: The safety plays the most important role for both pedestrian and driver in autonomous, semi-autonomous or non-autonomous vehicle. To improve pedestrian safety, this paper presents a new type of laser feature extraction methods for crosswalk marking through Laser Measurement System (LMS). The crosswalk detection is achieved in three stages as follows: Lane Surface Identification (LSI), Lane Marking Recognition (LMR), and finally Crosswalk Marking Detection (CMD). Preliminary results were performed and tested on a group of consecutive frames during the daylight condition to prove its effectiveness.
The safety plays the most important role for both pedestrian and driver in autonomous, semi-autonomous or non-autonomous vehicle. To improve pedestrian safety, this paper presents a new type of laser feature extraction methods for crosswalk marking through Laser Measurement System (LMS). The crosswalk detection is achieved in three stages as follows: Lane Surface Identification (LSI), Lane Marking Recognition (LMR), and finally Crosswalk Marking Detection (CMD). Preliminary results were performed and tested on a group of consecutive frames during the daylight condition to prove its effectiveness.

Topic: Roads
Surface treatment
Vehicles
Surface emitting lasers
Laser beams
Feature extraction
Least squares approximations
Roads
Surface treatment
Vehicles
Surface emitting lasers
Laser beams
Feature extraction
Least squares approximations

Get full text: https://ieeexplore.ieee.org/abstract/document/7281958/
http://ridda2.utp.ac.pa/handle/123456789/5092