Desarrollo de una interfaz visual para monitoreo de un prototipo de vehículo autónomo con LiDAR y comunicación Zigbee orientada al control en tiempo real

Abstract

Currently, automated driving is an innovative and interesting topic for many people because, in order for a vehicle to drive autonomously, technology is needed that can ensure the safety of passengers and the vehicle, taking into account the environment surrounding the vehicle and the condition of the roads. These parameters should be given greater weight in low- income countries or, by default, in third world countries. Another difficulty facing autonomous driving is people's mistrust because many vehicle users are accustomed to driving their vehicles without the help of third parties, making this technology less appealing to people who are used to driving manually on their journeys. This project was developed with the aim of recognizing that autonomous driving has a future across the globe and not just in countries with high purchasing power. Another reason for developing the project was to expand the field of automated driving. To achieve this goal, a small-scale prototype vehicle was created to experiment with autonomous driving based on the environment.

Low-cost materials and technology available on the market and accessible to the general public were used to analyze the behavior of autonomous driving and its logic. Of the technology used, the LiDAR sensor stands out. This is a laser remote sensing technology that measures the distance of solid objects to create 2D and 3D maps of the environment surrounding the sensor.

To visualize the environment surrounding the prototype vehicle, a visual interface has been created with multiple features, such as a window with a real-time geographical map, a radar window that will be necessary to analyze any obstacles in the path of the prototype vehicle, a driving mode switch system for manual and automatic driving, and finally, a function to record vehicle route data, including time, length, altitude, latitude, vehicle operating mode, and the proximity of obstacles present throughout the route.