Performance evaluation of laser scanners through the atmosphere with adverse condition

Hespel, Laurent; Rivière, Nicolas; Huet, Thierry; Tanguy, B.; Ceolato, Romain

doi:10.1117/12.898010

Cited by 10 publications

(7 citation statements)

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“…Depending on the laser source, the wavelength is between 0.8 and 1.5 micrometers. Mie scattering can be used if the particle is of similar size compared to the wavelength, e.g., [ 118 , 119 , 120 ]. If the particle is smaller than the laser wavelength, Rayleigh scattering can be used.…”

Section: Discussion and Conclusionmentioning

confidence: 99%

Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar

Goelles

Schlager

Muckenhuber

2020

Sensors

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Perception sensors such as camera, radar, and lidar have gained considerable popularity in the automotive industry in recent years. In order to reach the next step towards automated driving it is necessary to implement fault diagnosis systems together with suitable mitigation solutions in automotive perception sensors. This is a crucial prerequisite, since the quality of an automated driving function strongly depends on the reliability of the perception data, especially under adverse conditions. This publication presents a systematic review on faults and suitable detection and recovery methods for automotive perception sensors and suggests a corresponding classification schema. A systematic literature analysis has been performed with focus on lidar in order to review the state-of-the-art and identify promising research opportunities. Faults related to adverse weather conditions have been studied the most, but often without providing suitable recovery methods. Issues related to sensor attachment and mechanical damage of the sensor cover were studied very little and provide opportunities for future research. Algorithms, which use the data stream of a single sensor, proofed to be a viable solution for both fault detection and recovery.

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Section: Discussion and Conclusionmentioning

confidence: 99%

Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar

Goelles

Schlager

Muckenhuber

2020

Sensors

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“…Points of phantom objects (unreal) generally have a low reflection intensity index, however, as a result of precipitation, the intensity of points resulting from reflection from real objects also decreases. According to a study by Hesper Riviere et al [18], for the emitted by lidar wavelengths of 905 nanometres (95% of the devices currently use this wavelengths), fog is more challenging to analyse than rain. This is due to the scattering of light by the fog particles.…”

Section: Impact Of Adverse Weather Conditions On the Performance Of S...mentioning

confidence: 99%

Problems related to the operation of autonomous vehicles in adverse weather conditions

BRZOZOWSKI¹,

Parczewski²

2023

Combustion Engines

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Article introduces and discusses the sensors used in autonomous cars. The reliability of these devices is crucial for the proper operation of autonomous driving systems. The research works related to the issue of the performance of autonomous sensors in adverse weather conditions is discussed and critically analysed. The negative effects caused by bad weather conditions are characterised. The paper presents the result of author's own research concern on the effects of rain, snow and fog on lidar measurments. The results obtained are presented, detailing the most important threats from each weather phenomenon. Attempts currently being made to address these issues are presented as well. The paper concludes with a summary of the research results, the current state of knowledge and suggestions for future developments.

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“…Eksperymenty wykazują, że ogólna skuteczność detekcji w warunkach deszczu spada od kilku do kilkunastu procent [58]. Wedle badań Hesper Riviere i innych [23], dla LiDARu emitującego fale o długości 905 nanometrów (95% obecnie wykorzystywanych urządzeń), mgła stanowi większe wyzwanie niż deszcz. Wynika to z rozpraszania światła przez cząsteczki mgły.…”

Section: Lidarunclassified

Wpływ Niekorzystnych Warunków Atmosferycznych Na Działanie Sensorów Wykorzystywanych W Samochodach Autonomicznych

BRZOZOWSKI¹,

Parczewski²

2021

Projektowanie, Badania I Eksploatacja

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Streszczenie: Celem artykułu jest objaśnienie wpływu niekorzystnych warunków pogodowych na najbardziej popularne sensory wykorzystywane w samochodach autonomicznych. W pracy przedstawiono typowe sensory takie jak: kamera, LiDAR oraz RADAR, a następnie wskazano zakłócenia jakie w ich pracy wywołują niekorzystne warunki pogodowe. Przedstawiono wpływ: deszczu, śniegu oraz mgły. Ponadto omówiono próby zmierzające do ograniczenia tego wpływu. Proponowane działania dotyczą zarówno usprawnień samego sprzętu jak i rozwijania metod analizy obrazu. Podsumowaniem opracowania jest konkluzja, że najlepsze efekty otrzymuje się podczas wykorzystywania różnych sensorów, które mogą się wzajemnie uzupełniać.

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Performance evaluation of laser scanners through the atmosphere with adverse condition

Cited by 10 publications

References 0 publications

Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar

Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar

Problems related to the operation of autonomous vehicles in adverse weather conditions

Wpływ Niekorzystnych Warunków Atmosferycznych Na Działanie Sensorów Wykorzystywanych W Samochodach Autonomicznych

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