自动驾驶汽车传感器融合技术研究综述

Akshay Kumar, K. Stephen, A. Sabitha
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引用次数: 0

摘要

传感器融合技术是自动驾驶汽车的关键组成部分,使其能够以更高的精度和速度感知和响应环境。该技术集成了来自多个传感器的数据,如激光雷达、雷达、摄像头和GPS,从而全面了解车辆周围的环境。通过结合和分析这些数据,传感器融合技术可以识别物体,预测它们的运动,并做出最佳行动方案的决定。通过这种方式,自动驾驶汽车可以在城市街道或高速公路等复杂环境中安全可靠地运行。传感器融合技术是一个快速发展的领域,研究人员不断开发新的算法和技术来提高其准确性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Review on Sensor Fusion Technology in Autonomous Vehicles
Sensor fusion technology is a critical component of autonomous vehicles, enabling them to perceive and respond to their environment with greater accuracy and speed. This technology integrates data from multiple sensors, such as lidar, radar, cameras, and GPS, to create a comprehensive understanding of the vehicle’s surroundings. By combining and analyzing this data, sensor fusion technology can identify objects, predict their movements, and make decisions about the best course of action. In this way, it enables autonomous vehicles to operate safely and reliably in complex environments, such as urban streets or highways. Sensor fusion technology is a rapidly evolving field, and researchers are continually developing new algorithms and techniques to improve its accuracy and reliability.
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