Introduction to rain and fog attenuation on automotive surround sensors
| Autor: | Andreas Riener, Sinan Hasirlioglu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Broadcast engineering
Observational error 010504 meteorology & atmospheric sciences business.industry Attenuation Automotive industry 020206 networking & telecommunications 02 engineering and technology 01 natural sciences Electromagnetic radiation law.invention Lidar law 0202 electrical engineering electronic engineering information engineering Environmental science Radar business Focus (optics) 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | ITSC |
| DOI: | 10.1109/itsc.2017.8317823 |
| Popis: | Surround sensors in automated vehicles use electromagnetic waves to perceive their local environment. Due to atmospheric phenomena such as rain and fog, the waves are attenuated and limit sensor performance. As already small errors in sensor data measurements could lead to severe accidents, involved sensors should be able to detect measurement errors caused by adverse weather conditions and react accordingly. Rain drops as well as fog drops absorb and scatter electromagnetic waves depending on different properties. Studying the interaction of electromagnetic waves and hydrometeors has a long history in meteorology and radio engineering. This paper gives an overview of the basic knowledge with focus on automotive applications. We focus on camera, lidar, and radar sensors and describe the attenuation in visible, near infrared, and millimeter frequency ranges. For simulating automotive sensors, different disturbance models must be developed for each sensor type. This work should serve as a quick introduction to the field of rain and fog attenuation, highlights potential problems, and discusses possible solutions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|