Online Pothole Detection With YOLOv8 in the Context of Corporate Social Responsibility for Autonomous Vehicles

Abstract

The chapter discusses the potential of autonomous vehicles to enhance efficiency, safety, and convenience. Despite their advantages and challenges, they remain, particularly regarding real-world road conditions, such as potholes. The proposed solution aims to improve road safety through computer vision, aligning with CSR principles. This approach can reduce infrastructure maintenance costs, enhance road safety, and promote environmental sustainability. Potholes, which pose safety risks and increase maintenance expenses, are a central concern. The chapter explores the technical aspects of YOLOv8's real-time pothole detection, its integration into autonomous vehicles, and its implications for social responsibility and road safety. Challenges and prospects are also discussed. In essence, this chapter emphasizes the synergy of technology, social responsibility, and road safety in the autonomous vehicle era, paving the way for more ethical, secure, and efficient transportation.