Abstrakt
In recent decades, various solutions have been proposed for the navigation of vehicles in unknown environments to avoid obstacles in order to perform safer driving. In this article, a designed electric mechanical assembly vehicle provided by Mecanum 4-omnidirectional wheels holonomic on the corners of a rectangular base has been investigated with the ability to detect obstacles by combining the developed algorithms and sensing system.The vehicle is equipped with LiDAR and communication is guaranteed by WiFi. The interface with the mechanical and electrical devices of four wheeled Mecanum vehicle is well-executed by haptic feedback remote control using an analog joystick that guarantees the driving movements. Experimental tests were conducted to avoid obstacles and detect collision by the electric vehicle, in case of hazard detection. In this investigation, the obstacle is placed at the distance of 2 m away from the vehicle. If the resistance decreases, it means that the vehicle is approaching an obstacle. The recorded speed of vehicle passes from 350 mm/s to less than 10 mm/s, on the contrast, the resistance increases to reach 100%.
| Język oryginału | angielski |
|---|---|
| Numer artykułu | 41 |
| Czasopismo | Journal of Intelligent and Robotic Systems: Theory and Applications |
| Tom | 107 |
| Numer wydania | 3 |
| Identyfikatory DOI | |
| Status publikacji | Opublikowano - mar 2023 |
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Obszary tematyczne ASJC Scopus
- Oprogramowanie
- Inżynieria sterowania i systemów
- Inżynieria mechaniczna
- Inżynieria przemysłowa i produkcyjna
- Inżynieria elektryczna i elektroniczna
- Sztuczna inteligencja
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