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Traffic-sign (speed limit) recognition. Traffic-sign recognition (TSR) is a technology by which a vehicle is able to recognize the traffic signs put on the road e.g. "speed limit" or "children" or "turn ahead". This is part of the features collectively called ADAS. The technology is being developed by a variety of automotive suppliers to ...
Traffic sign recognition (TSR) systems can recognize common traffic signs, such as a “stop” sign or a “turn ahead” sign, through image processing techniques. [53] This system takes into account the sign's shape, such as hexagons and rectangles, and the color to classify what the sign is communicating to the driver. [53]
ISA was born in France when Saad and Malaterre (1982) carried out their study of driver behaviour with an in-car speed limiter. Actually, they did not really test Intelligent Speed Adaptation, because the system did not automatically set the correct speed limit; instead drivers had to set the limiter themselves, and, rather like a cruise control, they could set it as they chose.
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Inspired by the Uni-cub, Honda implemented a self-balancing technology into their motorcycles. Due to the weight of motorcycles, it is often a challenge for motorcycle owners to keep balance of their vehicles at low speeds or at a stop. Honda's motorcycle concept has a self-balancing feature that will keep the vehicle upright.
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Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
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