| Title: | Detection of Dangerous Situations Near Pedestrian Crossings using In-Car Camera |
| Authors: | Kubanek, Mariusz Karbowiak, Lukasz Bobulski, Janusz |
| Citation: | WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 393-396. |
| Issue Date: | 2023 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/54449 |
| ISBN: | 978-80-86943-32-9 |
| ISSN: | 2464–4617 (print) 2464–4625 (CD/DVD) |
| Keywords: | detekce objektu;hluboké učení;autonomní systémy |
| Keywords in different language: | object detection;deep learning;autonomous systems |
| Abstract in different language: | The paper presents a method for detecting dangerous situations near pedestrian crossings using an in-car camera system. The approach utilizes deep learning-based object detection to identify pedestrians and vehicles, analyzing their behavior to identify potential hazards. The system incorporates vehicle sensor data for enhanced accuracy. Evaluation results show high accuracy in detecting dangerous situations. The proposed system can potentially enhance pedestrian and driver safety in urban transportation. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2023: Full Papers Proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| F02-full.pdf | Plný text | 1,35 MB | Adobe PDF | View/Open |
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