• search hit 2 of 6
Back to Result List

Performance Evaluation of MEMS-Based Automotive LiDAR Sensor and Its Simulation Model as per ASTM E3125-17 Standard

  • Measurement performance evaluation of real and virtual automotive light detection and ranging (LiDAR) sensors is an active area of research. However, no commonly accepted automotive standards, metrics, or criteria exist to evaluate their measurement performance. ASTM International released the ASTM E3125-17 standard for the operational performance evaluation of 3D imaging systems commonly referred to as terrestrial laser scanners (TLS). This standard defines the specifications and static test procedures to evaluate the 3D imaging and point-to-point distance measurement performance of TLS. In this work, we have assessed the 3D imaging and point-to-point distance estimation performance of a commercial micro-electro-mechanical system (MEMS)-based automotive LiDAR sensor and its simulation model according to the test procedures defined in this standard. The static tests were performed in a laboratory environment. In addition, a subset of static tests was also performed at the proving ground in natural environmental conditions to determineMeasurement performance evaluation of real and virtual automotive light detection and ranging (LiDAR) sensors is an active area of research. However, no commonly accepted automotive standards, metrics, or criteria exist to evaluate their measurement performance. ASTM International released the ASTM E3125-17 standard for the operational performance evaluation of 3D imaging systems commonly referred to as terrestrial laser scanners (TLS). This standard defines the specifications and static test procedures to evaluate the 3D imaging and point-to-point distance measurement performance of TLS. In this work, we have assessed the 3D imaging and point-to-point distance estimation performance of a commercial micro-electro-mechanical system (MEMS)-based automotive LiDAR sensor and its simulation model according to the test procedures defined in this standard. The static tests were performed in a laboratory environment. In addition, a subset of static tests was also performed at the proving ground in natural environmental conditions to determine the 3D imaging and point-to-point distance measurement performance of the real LiDAR sensor. In addition, real scenarios and environmental conditions were replicated in the virtual environment of a commercial software to verify the LiDAR model’s working performance. The evaluation results show that the LiDAR sensor and its simulation model under analysis pass all the tests specified in the ASTM E3125-17 standard. This standard helps to understand whether sensor measurement errors are due to internal or external influences. We have also shown that the 3D imaging and point-to-point distance estimation performance of LiDAR sensors significantly impacts the working performance of the object recognition algorithm. That is why this standard can be beneficial in validating automotive real and virtual LiDAR sensors, at least in the early stage of development. Furthermore, the simulation and real measurements show good agreement on the point cloud and object recognition levels.show moreshow less

Download full text files

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Arsalan HaiderORCiD, Yongjae Cho, Marcell Pigniczki, Michael H. Köhler, Lukas HaasORCiDGND, Maximilian Fink, Michael Schardt, Yannik Cichy, Shotaro Koyama, Thomas ZehORCiDGND, Tim PoguntkeGND, Hideo Inoue, Martin Jakobi, Alexander W. Koch, Ludwig KastnerORCiD
DOI:https://doi.org/10.3390/s23063113
Identifier:1424-8220 OPAC HS OPAC extern
Parent Title (English):Sensors
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Date of Publication (online):2023/03/14
Year of first Publication:2023
Tag:ASTM E3125-17 standard; advanced driver-assistance system; automotive LiDAR sensor; micro-electro-mechanical systems; open simulation interface
GND Keyword:Fahrerassistenzsystem; Simulation
Volume:23
Issue:6
Article Number:3113
Number of pages:26 Seiten
First Page:1
Last Page:26
Institutes:IFM - Institut für Fahrerassistenz und vernetzte Mobilität
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
Open Access:open_access
Research focus:FSP2: Mobilität
Publication Lists:Poguntke, Tim
Zeh, Thomas
Haider, Arsalan
Pigniczki, Marcell
Haas, Lukas
Kastner, Ludwig
Publication reviewed:begutachtet
Release Date:2023/05/03
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.