Current Stage of Autonomous Driving Through A Quick Survey for Novice

  • Saman Sarraf The Institute of Electrical and Electronics Engineers, Senior Member IEEE
Keywords: Autonomous Driving, Artificial Intelligence, Machine Learning, Computer Vision


Today, autonomous driving is considered a branch of artificial intelligence in which various technologies are employed, ranging from computer vision to machine learning-based sensor fusion technologies. This work summarizes the autonomous vehicle advances and also discusses the crucial components required to build such technology. The state-of-the-art architectures of autonomous vehicles compromise several core modules, including sensors, road scene perception, motion planning, core control system, and system management. The research showed that computer vision technologies such as object detection and tracking and localization and mapping techniques, play crucial roles in an advanced autonomous vehicle functional architecture. The current stage of this industry demonstrates the successful prototyping of autonomous vehicles without drivers’ significant interventions. However, the research centers and automobile industries’ ongoing development aim to explore the productization of such highly automated vehicles and seek to improve road scene perception to reduce the number of sensors while enhancing or maintaining the current performance.


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