Crosswalk detection based on laser scanning from moving vehicle
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 crosswa...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Panamá |
| Institución: | Universidad Tecnológica de Panamá |
| Repositorio: | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| Idioma: | inglés |
| OAI Identifier: | oai:ridda2.utp.ac.pa:123456789/5092 |
| Acceso en línea: | https://ieeexplore.ieee.org/abstract/document/7281958/ http://ridda2.utp.ac.pa/handle/123456789/5092 |
| Access Level: | acceso embargado |
| Palabra clave: | Roads Surface treatment Vehicles Surface emitting lasers Laser beams Feature extraction Least squares approximations |
| Sumario: | 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. |
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