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Polygence Scholar2022
Krithin Kamineni's profile

Krithin Kamineni

Dublin High SchoolClass of 2024Dublin, California



  • "Literature Review on Collaborative Perception Enabled Autonomous Vehicle Safety Applications" with mentor Noah (Sept. 16, 2022)

Project Portfolio

Literature Review on Collaborative Perception Enabled Autonomous Vehicle Safety Applications

Started May 12, 2022

Abstract or project description

Autonomous vehicle driving capabilities are beginning to shift focus from semi-autonomous vehicles (SAVs) to fully autonomous vehicles (FAVs). Autonomy is an important direction into the future of cars since automation can help reduce the number of crashes as well as improve the efficiency of transportation. With this change in interest, a pertinent question emerges: How safe are these self-driving vehicles? To tackle this query, multiple large car manufacturers as well as distinguished research programs and laboratories have proposed and implemented many autonomous vehicle technologies. Foremost, many autonomous vehicle technologies are used alongside vehicle-to-vehicle (V2V) communications, which are a web of computer networks in which various vehicles communicate with each other to provide important safety warnings for the collective goal of avoiding accidents and traffic. Many different technologies continue to emerge in order to make autonomous driving safer for the consumer. Some of these impactful technologies are implemented through collaborative perception (CP), machine-learning (ML) based decision-making, and computer vision (CV) for localization. Despite the multiple solution spaces for autonomous safety applications, for the purpose of this review, we will focus on collaborative perception technologies. This paper presents a thorough review on the various ways CP is leveraged for autonomous safety applications. For instance, how it enables various autonomous driving systems like collision avoidance, lane detection, and much more. In this review, we will first describe each CP safety application in detail, before we provide their advantages and disadvantages. Furthermore, this paper briefly touches upon future AV innovations in both academia and the real-world. Prior literature reviews rarely discuss the limitations of autonomous driving vehicles. Of the few that do touch on the drawbacks of autonomy, none of them talk about the performance of these technologies in different weather conditions. In this literature review, we will discuss this line of thinking in more detail.