Co-Investigators:
Annotation:
The project "Qualification of objects using FMCW radars to increase safety in the external environment" responds to current challenges in the field of autonomous vehicles, where optical sensors are often used to detect obstacles. These sensors are effective in ideal lighting and climate conditions, but their functionality is limited in more demanding conditions, such as poor lighting conditions or extreme climatic conditions. This project presents FMCW radar technology as a possible solution to these limitations, as radar sensors are not dependent on light conditions. The goal of the project is the development and implementation of FMCW radar systems capable of identifying and classifying objects in various outdoor environments. The benefit is a possible increase in the safety of traffic participants in outdoor environments such as industrial sites and spaces where different traffic flows meet people or animal creatures. The project focuses on the implementation of radar sensors that are able to distinguish objects. The emphasis is placed on the integration of radar systems into existing security and monitoring systems, including the development of algorithms for the processing and analysis of radar data. With the goal of creating technologies to create a safe environment where autonomous vehicles and other agents can coexist without the need for physical separation. The output of this project is the creation of a separate technology that can recognize at least three types of objects and, at the same time, classify their movement.
Department:
Year:
2024 - 2025
Program:
Studentská grantová soutěž ČVUT - SGS24/104/OHK2/2T/16
