Challenges and Possible Solutions in Implementing Autonomous Vehicles for Hill Areas

Hemlata Gairola, Upendra Verma

Abstract: Autonomous cars, also known as self-driving cars or driverless cars, are vehicles capable of sensing their environment and operating without human intervention. The evolution of autonomous driving is categorized into six levels of automation, ranging from no automation to full automation. Each level defines the extent to which the vehicle can control itself and the role of human intervention. Autonomous cars rely on a combination of advanced technologies and sensors to observe their surroundings and make decisions. These sensors include LiDAR, RADAR, cameras, ultrasonic sensors, GPS, IMUs, and more. However, autonomous vehicles face unique challenges when operating in hill areas, such as identifying static and dynamic objects, navigating steep gradients and winding roads, and communication and GPS issues etc. Solutions involve sensor fusion, machine learning, and enhanced mapping techniques for implementing the AVs in hill areas.

Keywords: Autonomous vehicles, AV sensors, AV in hills, Challenges, and Solutions