A PRACTICAL ANIMAL DETECTION AND COLLISION AVOIDANCE SYSTEM USING COMPUTER VISION TECHNIQUES

Autor: Mr. D. Raj Kumar, Malkam Kavya, Kotagiri Vaishnavi Rani, Janagam Charishma
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.7238995
Popis: Transportation departments around the world deal with an ever-increasing number of animal-vehicle collisions as they cause thousands of human and animal fatalities along with billions in economic losses each year. This is one of the few areas of transportation where safety is not improving. As more roads are built, the areas that animals inhabit shrink, causing more collisions between vehicles and animals. Human deaths and injuries, animal deaths and injuries, and the material costs of these accidents highlight the need to address this problem. Through this paper, new research directions and combinations of technologies suitable to cover research gaps are introduced.
Databáze: OpenAIRE