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Cellular Vision Based ADAS Applications

机译:基于蜂窝视觉的ADAS应用

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摘要

Driver assistant systems and functions are becoming a general requirement in modern cars, but many of these functionalities still pose significant challenges in image processing and machine learning. Although algorithmic solutions with sufficient accuracy exist for many tasks, most commonly these methods require complex and expensive infrastructure (both computational and sensory) and have high power consumption. In this paper we present the ReCo - Pro, a cellular vision system with advanced driving assistance functionalities. The system is capable of detecting and tracking various objects: vehicles, pedestrians, traffic signs and traffic lights with 60 frames per second in HD resolution and with 5 watts power consumption.
机译:驾驶员助理系统和功能正在成为现代汽车的一般要求,但许多这些功能仍然在图像处理和机器学习中提出了重大挑战。尽管许多任务中存在具有足够精度的算法解决方案,但最常见的是这些方法需要复杂和昂贵的基础设施(计算和感觉)并且具有高功耗。在本文中,我们介绍了具有先进驾驶辅助功能的蜂窝视觉系统。该系统能够检测和跟踪各种物体:车辆,行人,交通标志和交通灯,每秒60帧,高清分辨率和5瓦功耗。

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