Review of Development Trends and Challenges in Autonomous Driving Technology

In recent years, the rapid development of autonomous driving technology has become a research hotspot in the fields of artificial intelligence and transportation. With advancements in sensor technology, deep learning algorithms, and high-precision mapping, autonomous vehicles have demonstrated significant potential in terms of safety, efficiency, and user experience. Nevertheless, the path to commercializing this technology is fraught with challenges, including issues of technical reliability, incomplete legal frameworks, ethical dilemmas, and varying levels of public acceptance. This paper reviews the current state of autonomous driving technology, analyzes the progress made and bottlenecks encountered in its core technologies, and explores future development trends and potential solutions. This research indicates that although the prospects for autonomous driving technology are promising, its widespread adoption will require interdisciplinary collaboration and policy support to address the multiple challenges at the technical, social, and ethical levels. This study highlights the importance of addressing technical and ethical challenges to facilitate public trust and acceptance of autonomous driving technology.