| Název: | Motorcycle Rider Assistance System for Obstacle Detection with Visualization in the Rider’s Visual Area |
| Autoři: | Mašek, Václav Čermák, Roman |
| Citace zdrojového dokumentu: | MAŠEK, V. ČERMÁK, R. Motorcycle Rider Assistance System for Obstacle Detection with Visualization in the Rider’s Visual Area. In DSMIE 2022: Advances in Design, Simulation and Manufacturing V. Cham: Springer, 2022. s. 41-50. ISBN: 978-3-031-06025-0 |
| Datum vydání: | 2022 |
| Nakladatel: | Springer |
| Typ dokumentu: | konferenční příspěvek ConferenceObject |
| URI: | http://hdl.handle.net/11025/51672 |
| ISBN: | 978-3-031-06025-0 |
| Klíčová slova v dalším jazyce: | Advanced Rider - Assistance System;Head-Up Display;Prevention;Sensor fusion;Design;Simulation;Raspberry Pi;ESP 32;OpenCV |
| Abstrakt v dalším jazyce: | This work describes a design study of motorcycle rider’s assistant system. The main reason was to design affordable and useful safety devices for every motorcycle rider. The study includes a detailed design of a sensory unit placed on the motorcycle and a visualization unit with HUD (Head-Up Display) placed on the rider’s helmet. The sensory unit contains an infrared sensor for range detection of vehicles in front of the motorcycle, a camera for pedestrian detection and traffic sign recognition, and a combination of IMU (inertial measurement unit) and GPS (global positioning system) sensors for independent speed determination both in open and enclosed areas. Displaying unit contains two displays and a head-up display with a single combiner without a collimating lens. The microcontroller of the sensory unit is Raspberry Pi 3b+ and of displaying unit is ESP 32. Mutual communication is via Bluetooth connection. Work contains stress analysis and fatigue analysis of stress parts, and modal analysis of sensory unit. An ergonomic study of the rider’s field of view is also included. The general software design of control software is also described. |
| Práva: | Plný text není přístupný. © The Author(s), under exclusive license to Springer Nature Switzerland AG |
| Vyskytuje se v kolekcích: | Konferenční příspěvky / Conference papers (KKS) OBD |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| DSMIE_2022_Poznan_Poland_clanek.pdf | 9,26 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
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