Progress on MEMS-scanned ladar

Stann, Barry L.; Dammann, J. Francis; Giza, Mark M.

doi:10.1117/12.2223728

Cited by 15 publications

(6 citation statements)

References 1 publication

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“…InnovizOne, 115 o x25 o HFoV x VFoV [79]). Moreover, by using multiple channels and fusing their data allows the creation of pointclouds with enhanced densities with respect to macro-mechanical LiDARs [80]- [81]. The MEMS mirrors require to be specifically designed for automotive LiDAR applications, for example, there is a trade-off between device miniaturization and maximum detection range (the mirror needs to be big enough to collect sufficient light reflected by the target) [82].…”

Section: Mechanical Rotationmentioning

confidence: 99%

A Review and Perspective on Optical Phased Array for Automotive LiDAR

Hsu

Solano-Rivas

et al. 2021

IEEE J. Select. Topics Quantum Electron.

195

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Section: Mechanical Rotationmentioning

confidence: 99%

A Review and Perspective on Optical Phased Array for Automotive LiDAR

Hsu

Solano-Rivas

et al. 2021

IEEE J. Select. Topics Quantum Electron.

195

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“…A reduced FOV is obtained compared to the previously described rotary scanners because they have no rotating mechanical components. However, using multiple channels and fusing their data allows us to create FOVs and point cloud densities able to rival or improve mechanical lidar scanners [60,61]. Further, MEMS scanners have typically resonance frequencies well above those of the vehicle, enhancing maintenance and robustness aspects.…”

Section: (B) Microelectromechanical Scannersmentioning

confidence: 99%

An Overview of Lidar Imaging Systems for Autonomous Vehicles

2019

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Lidar imaging systems are one of the hottest topics in the optronics industry. The need to sense the surroundings of every autonomous vehicle has pushed forward a race dedicated to deciding the final solution to be implemented. However, the diversity of state-of-the-art approaches to the solution brings a large uncertainty on the decision of the dominant final solution. Furthermore, the performance data of each approach often arise from different manufacturers and developers, which usually have some interest in the dispute. Within this paper, we intend to overcome the situation by providing an introductory, neutral overview of the technology linked to lidar imaging systems for autonomous vehicles, and its current state of development. We start with the main single-point measurement principles utilized, which then are combined with different imaging strategies, also described in the paper. An overview of the features of the light sources and photodetectors specific to lidar imaging systems most frequently used in practice is also presented. Finally, a brief section on pending issues for lidar development in autonomous vehicles has been included, in order to present some of the problems which still need to be solved before implementation may be considered as final. The reader is provided with a detailed bibliography containing both relevant books and state-of-the-art papers for further progress in the subject.

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“…f m + f y , are omitted since they are small by the averaging integral. Equation (8) indicates that the vibration coupling results in energy changes varying at the differences between mirror and vibration frequencies and that the orders of harmonics are different for the two directions. At the considered amplitudes of Θ < 0.35, the respective first order contributions are dominant, i.e.…”

Section: External Vibration Coupling Model Based On Energy Variationmentioning

confidence: 99%

Experimental Evaluation of Vibration Influence on a Resonant MEMS Scanning System for Automotive Lidars

Yoo,

Riegler,

Brunner

et al. 2020

Preprint

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This paper demonstrates a vibration test for an operating resonant MEMS scanning system to evaluate the vibration immunity for automotive lidar applications. The MEMS mirror has a reinforcement structure on the backside of the mirror, causing vibration coupling by a mismatch between the center of mass and the rotation axis. An analysis of energy variation is proposed, showing direction dependency of vibration coupling. Vibration influences are evaluated by transient vibration response and vibration frequency sweep using a single tone vibration for translational y-and z-axis. The measurement results demonstrate standard deviation (STD) amplitude and frequency errors are up to 1.64 % and 0.26 %, respectively, for 2 grms single tone vibrations on y axis. The simulation results also show a good agreement with both measurements, proving the proposed vibration coupling mechanism of the MEMS mirror. The phased locked loop (PLL) improves the STD amplitude and frequency errors to 0.91 % and 0.15 % for y axis vibration, corresponding to 44.4 % and 43.0 % reduction, respectively, showing the benefit of a controlled MEMS mirror for reliable automotive MEMS lidars.

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Progress on MEMS-scanned ladar

Cited by 15 publications

References 1 publication

A Review and Perspective on Optical Phased Array for Automotive LiDAR

A Review and Perspective on Optical Phased Array for Automotive LiDAR

An Overview of Lidar Imaging Systems for Autonomous Vehicles

Experimental Evaluation of Vibration Influence on a Resonant MEMS Scanning System for Automotive Lidars

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