Abstract
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%.
| Original language | English |
|---|---|
| Article number | 41 |
| Journal | Journal of Intelligent and Robotic Systems: Theory and Applications |
| Volume | 107 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Haptic feedback
- Obstacle avoidance
- Vehicle safety system
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence
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