引入一种开发方法,用于使用持续验证和验证进行主动感知传感器模拟
Kristof Hofrichter1, Lukas Elster2, Clemens Linnhoff2
1Institute of Automotive Engineering, Technical University of Darmstadt, Otto-Berndt-Straße 2, 64287 Darmstadt, Germany.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
这项研究引入了一种新的方法,用于可信的模拟激活感知传感器,如激光雷达和激光雷达. 它确保可靠的传感器模拟,用于开发更安全的自动驾驶功能.
科学领域:
- 汽车工程 汽车工程
- 计算机科学 计算机科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 现实世界中对自动驾驶功能的测试面临成本,安全和可扩展性的局限性.
- 对车辆环境的准确感知依赖于激光雷达和激光雷达等主动传感器.
- 确保传感器模拟的可信性是开发自动驾驶系统的一个关键挑战.
研究的目的:
- 提出一种新的方法,以有效和可靠地实现和验证主动感知传感器模拟.
- 将持续验证和验证方法纳入安全关键自动驾驶功能的开发过程.
- 展示验证测量数据和推导验收标准的实际方法.
主要方法:
- 在模拟中反复实现传感器效果要求.
- 在模拟开发的每个代中进行持续验证和验证.
- 开发验证测量数据和定义验收标准的方法.
主要成果:
- 提出了一种新的方法,用于高效和可靠的主动感知传感器模拟.
- 该方法在整个开发过程中整合了持续的验证和验证.
- 介绍了数据验证和验收标准推导的实际方法.
结论:
- 拟议的方法提高了自动驾驶功能的传感器模拟的可信性.
- 持续的验证和验证对于确保这些系统的安全增强至关重要.
- 这种方法通过激光雷达模拟来证明,为传感器模拟开发提供了一个强大的框架.
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