In recent years, environment perception technology for intelligent vehicles has made significant progress, providing robust support for the intelligent level, safety, and efficiency of vehicles. However, as urban traffic environments become increasingly complex and performance requirements rise, vehicle environment perception technology urgently needs further enhancement. To better analyze the research directions of intelligent vehicle environment perception, this comprehensive review offers a thorough summary of cutting-edge technologies in sensor technology and various modules of vehicle environment perception, advancing the development of intelligent driving. First, the primary types of sensors used in intelligent vehicle environment perception and their working principles are introduced, emphasizing the importance of sensor technology. The review then focuses on the current research status in key areas such as lane and road detection, traffic sign recognition, vehicle detection, and scene understanding. These technologies enable vehicles to comprehend and navigate their surroundings, which is crucial for intelligent driving tasks. The advantages and disadvantages of various research methods and algorithm models are summarized and evaluated. Finally, the future research trends in vehicle environment perception are outlined, aiming to address the current technical challenges. Overall, this review demonstrates the rapid development in the field of intelligent vehicle environment perception, providing a comprehensive evaluation of the technologies and innovations. This will offer crucial support for intelligent vehicle environment perception to progress towards a highly efficient future.
Qin et al. (Mon,) studied this question.