​From Concept to Reality: An In-Depth Review of​ ​Autonomous Driving Strategies and Their​ ​Implementation​

The field of autonomous driving has seen significant advancements in recent years, with various strategies and techniques being developed and implemented in real-world scenarios. In this paper, we provide a comprehensive review of driving strategies for perception, prediction, and control, particularly emphasizing recent advances in deep learning-based approaches. We also discuss the benefits and limitations of each approach and highlight areas for future research. Through our analysis, we aim to provide a better understanding of the state-of-the-art in autonomous driving and help guide future research efforts in this exciting field. In addition to discussing the technical aspects of these driving strategies, we also consider the broader implications of their success, including the potential impact on the future of autonomous driving. We conclude with a summary of the major contributions and open challenges in the field, as well as directions for future research.

Recommended citation: R. Verma, J. Phillip, M. Kotambkar. "2023 From Concept to Reality: An In-Depth Review of Autonomous Driving Strategies and Their Implementation" International Conference on Mechanical Design and Manufacturing 2023.
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