Abstract
An authorized traffic controller (ATC) has the highest priority for direct road traffic. In some irregular situations, the ATC supersedes other traffic control. Human drivers indigenously understand such situations and tend to follow the ATC; however, an autonomous vehicle (AV) can become confused in such circumstances. Therefore, autonomous driving (AD) crucially requires a human-level understanding of situation-aware traffic gesture recognition. In AVs, vision-based recognition is particularly desirable because of its suitability; however, such recognition systems have various bottlenecks, such as failing to recognize other humans on the road, identifying a variety of ATCs, and gloves in the hands of ATCs. We propose a situation-aware traffic control hand-gesture recognition system, which includes ATC detection and gesture recognition. Three-dimensional (3D) hand model-based gesture recognition is used to mitigate the problem associated with gloves. Our database contains separate training and test videos of approximately 60 min length, captured at a frame rate of 24 frames per second. It has 35,291 different frames that belong to traffic control hand gestures. Our approach correctly recognized traffic control hand gestures; therefore, the proposed system can be considered as an extension of the operational domain of the AV.
Highlights
Traffic police make traffic control hand gestures to control the flow of vehicles and traffic on the road for human safety
Discussion control hand were performed within one second; this was the reason for the number of sampling frames per second
A single inference network (SIN) we was added to the avoid such from the scene and applied todifference recognize the gestures stage two
Summary
Traffic police make traffic control hand gestures to control the flow of vehicles and traffic on the road for human safety. There are other people or objects (e.g., traffic mannequins, traffic robots, etc.) that use hand gestures to participate in the task of traffic directing We call such controllers authorized traffic controllers (ATCs). Autonomous driving (AD) should involve a human-level understanding of situation-aware traffic gesture recognition. These gestures are imparted by humans on roads; such hand gestures do not have any traffic directional intentions They create severe confusion in deep-learning-based automated driving systems (ADSs) for Level
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