Toward open benchmark tests for automotive lidars, year 1: static range error, accuracy, and precision

Author:

Jeffries Zach1,Bos Jeremy P.1,McManamon Paul2,Kershner Charles3,Kurup Akhil1

Affiliation:

1. Michigan Technological University, Robust Autonomous Systems Laboratory, Department of Electrical and Computer Engineering, Houghton, Michigan, United States

2. Exciting Technology, LLC, Dayton, Ohio, United States

3. National Geospatial-Intelligence Agency (NGA), Springfield, Virginia, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference23 articles.

1. Predicting error propagation in autonomous ground vehicle subsystems;Carruth,2020

2. Temporal Stability of the Velodyne HDL-64E S2 Scanner for High Accuracy Scanning Applications

3. ACCURACY ASSESSMENT AND CALIBRATION OF LOW-COST AUTONOMOUS LIDAR SENSORS

4. Experimental assessment of the Quanergy m8 lidar sensor;Mittet,2016

5. Benchmarking Automotive LiDAR Performance in Arctic Conditions

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1. Methods to evaluate 3D lidars used for automated driving;Measurement;2025-01

2. Toward standardized testing of automotive lidars: year two results;Optical Engineering;2024-08-10

3. Assessment and Benchmarking Approaches for 3D LiDAR Systems: A Comprehensive Overview;2024 IEEE International Workshop on Metrology for Automotive (MetroAutomotive);2024-06-26

4. A Case Study on Retroreflective Marker Usage in Industrial 3D Lidar Applications;Lecture Notes in Networks and Systems;2024

5. Assessing the effects of severe winter weather on automotive lidar;Laser Communication and Propagation through the Atmosphere and Oceans XII;2023-10-03

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