Miniature Model of Autonomous Vehicle Using Arduino UNO and Open CV

Abstract

The one thing that makes Tesla stand out from the crowd is its full automation Self-Driving feature. Not just the name itself but the technology behind it is even more interesting. It is not only about the luxury but also has a lot of advantages which backs the term. And what blows our mind is that not a lot of Indian car companies are focused on this technology on wide scale. So, inspired by that this paper presents to build a Self-Driving Autonomous car model but on minimalistic basis which basically will be focused on three main features which are to operate in accordance with the surrounding depending on the direction of the road, to detect stop sign and halt for 5-10 seconds and detect traffic signs and make decisions accordingly. The miniature self-driving car will detect the two-lane path and perform the above functions. Keywords: Autonomous Vehicles, Self-driving car, Computer Vision, Neural Network, Image processing, wireless sensor networks, control systems, path planning.

How to select the electronic target for robot trajectory tracking Lyapunov‐based controllers: Comparative study and experimental results

“…Besides, literature offers examples comparing nonlinear control alternatives for specific applications but analyzed from a theoretical point of view [9,10]. There are also papers highlighting some of the most well-known electronic targets for complex control applications such as Arduino UNO [11], Raspberry Pi [12], TMS320Fx microcontroller [13] or NUC8i5 [14]. However, the electronic targets comparison over the same control problem has scarcely been addressed.…”