Solid-state LiDAR fundamentals – 3D hybrid flash LiDAR design
Hybrid flash solid-state LiDAR designs combine wide-beam flash illumination with MEMS beam steering and high-performance photodetectors. This results in robust, reliable, cost-effective LiDAR sensors that deliver high resolution over long ranges. These demanding requirements are essential to supporting the most advanced automotive and mobility applications, such as:
- Passenger car Advanced driver-assistance systems (ADAS) and autonomous driving;
- Bus and truck ADAS and autonomous driving;
- Autonomous shuttles;
- Autonomous delivery vehicles;
- Robotaxis’ advanced 360-degree detection cocoon.
Solid-state designs have been recognized as the best avenue for delivering automotive LiDAR solutions. Compared to mechanical scanning LiDARs, their simpler build, which include no motorized parts, make them intrinsically more robust and cost-efficient. This also greatly facilitates the rapid ramp-up towards high-volume manufacturing.
Solid-state LiDARs also leverage advanced software to optimize their performance. Greater LiDAR sensitivity and range is achieved by using highly efficient digital signal-processing algorithms thus enabling leading LiDAR providers to reduce the overall solution cost.
Mobility industry experts agree that LiDAR is a key element in the sensor suite that enables reliable autonomous driving (AD). Depending on the system design, this comprehensive sensor suite can include up to nine LiDAR sensors. The specifications of automotive LiDARs will vary according to the requirements of the application and to the LiDAR’s position around the vehicle. For example, front LiDARs for highway applications will require the longest range and highest resolution as well as a narrower field of view (FOV), while side, corner or rear LiDARs may require less range or resolution, but a wider FOV.
In the coming years, rapid developments in active safety and ADAS will enable several new semi-autonomous driving solutions to enter the passenger car market. Tremendous investments and progress are also being made in fully autonomous driving technologies, but significant commercial deployments may take longer to materialize. Hence, over the next decade, vehicles within the Level 2+ and Level 3 automation categories (“semi-autonomous”) should represent the largest market opportunity for flash and hybrid-flash LiDARs.
LeddarTech is an industry leader providing the most versatile, scalable auto and mobility LiDAR platform based on the unique LeddarEngine, which consists of a suite of automotive-grade, functional safety-certified SoCs working in tandem with LeddarSP signal processing software. The company is responsible for several innovations in cutting-edge mobility remote-sensing applications, its patented technologies enhancing ADAS and autonomous driving capabilities for automobiles, trucks, buses, delivery vehicles, robotaxis, shuttles and more. Additional information about LeddarTech is accessible at www.LeddarTech.com.