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Biaxial 360-degree scanning LIDAR using a liquid crystal control.
1Technology Division, Panasonic Corporation, 3-1-1 Yagumo-nakamachi, Moriguchi City, Osaka, 570 - 8501, Japan. wside@nifty.com.
Scientific Reports
|July 21, 2021
Summary
This study demonstrates a novel non-mechanical Light Detection and Ranging (LIDAR) system using concentric circular-grating couplers and liquid crystals for autonomous vehicles. This technology enables 360-degree scanning, crucial for safe self-driving cars.
Area of Science:
- Optoelectronics
- Photonics
- Autonomous Systems
Background:
- Advancements in autonomous vehicles necessitate sophisticated non-mechanical Light Detection and Ranging (LIDAR) technologies for enhanced safety and reliability.
- Current LIDAR systems often rely on mechanical components, limiting their durability, speed, and miniaturization potential.
Purpose of the Study:
- To confirm the operating principle of a novel non-mechanical LIDAR system.
- To demonstrate a new approach for beam steering in LIDAR applications using liquid crystal technology.
Main Methods:
- Integration of concentric circular-grating couplers (CGCs) with a coaxially aligned rod lens.
- Application of voltages to area-segmented electrodes and a liquid crystal layer to control beam scanning.
- Vertical incidence of laser light onto the inner CGC, with radiation from the outer CGC and passage through the rod lens.
Main Results:
- Demonstrated 360-degree horizontal and 10-degree vertical scanning motion ranges.
- Achieved vertical scanning up to 100 Hz with a beam spread of 0.3° × 0.8°.
- Observed rotational scanning of ten equally spaced beams with a 6-degree cycle and varying spread angles between 0.8° and 3.5°.
Conclusions:
- The developed non-mechanical LIDAR system successfully demonstrates a viable operating principle for future autonomous vehicle applications.
- This technology offers a promising alternative to traditional mechanical LIDAR, potentially improving performance and robustness.
- Further development could lead to more compact, faster, and reliable LIDAR solutions essential for advanced driver-assistance systems and fully autonomous driving.

