This simulation model results from the partnership between the lidar sensor company LeddarTech and dSpace announced in December 2020 to jointly drive the development of lidar technologies by providing high-precision simulation tools and models to support and significantly accelerate lidar development.
Currently, sensing platform and perception system development requires the integration and calibration of the actual sensor hardware on a vehicle and the conventional data acquisition and annotation, which are expensive and time-consuming processes. The LeddarEcho lidar Simulation Software offers customers the capability to simulate different sensor concepts and combinations and validate the sensor design requirements without the need to assemble the entire system.
Furthermore, by providing valuable data via the simulation models, LeddarEcho also supports the efficient development of perception systems, from sensor selection and platform architecture to data acquisition and annotation. Essential functionality for these tasks is provided by Aurelion, a dSpace solution for sensor-realistic simulation, which enables sophisticated physics-based sensor models and photorealistic visualization.
By significantly accelerating the development cycle, facilitating the design process, shortening the time-to-market and reducing overall development costs, LeddarEcho brings benefits in developing sensing and perception solutions for automotive ADAS and AD applications that use front lidars.
“LeddarEcho was developed using the physics-based Aurelion sensor simulation from dSpace. The lidar front-end sensor model will enable our customers to efficiently develop, simulate, validate and optimize LeddarEngine-based lidar sensor designs using dSpace SiL and HiL testing environments,” states Christopher Wiegand, Strategic Product Manager at dSpace. “This validation includes physically accurate simulation of the lidar and the vehicle environment, including moving objects, such as vehicles and pedestrians, as well as the road and other static objects, such as traffic signs or curbs,” concludes Wiegand.
“Market growth in the coming years will continue at SAE levels 2 and 3 for ADAS and, before LeddarEcho, there were no solutions for simulating front lidars for these systems,” states LeddarTech CTO Pierre Olivier. “LeddarEcho will potentially save months of R&D