LIDAR TECHNOLOGIES dSPACE integrates RoboSense models in sensor simulation solution

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In a technology partnership, dSPACE has integrated sensor models from RoboSense, an international technology company for smart lidar systems, into AURELION, the dSPACE sensor simulation solution. The objective of both companies is to accelerate the development, testing, and validation of lidar functions in ADAS and AD applications.

“Sensor models for the most frequently used RoboSense sensors are now already integrated in the dSPACE AURELION sensor simulation solution. The scenarios that can be simulated using this combination extend the testing options and thus reduce costs from the development phase to validation,” explains Caius Seiger, Product Manager Sensor Simulation at dSPACE.

AURELION can be operated either in the cloud or locally at the user’s premises and generates photo-realistic images for camera simulation in real time. Using ray tracing, realistic raw data is also calculated for radar and lidar. The solution can be implemented in all phases of the development process – for example, software-in-the-loop (SIL) testing, hardware-in-the-loop (HIL) testing, or in parallel validation in the cloud.

After undergoing extensive and rigorous validation of its reliability system, RoboSense's M-Series lidar has gained widespread market adoption worldwide. The M-Series lidar is the first intelligent automotive-grade solid-state lidar to achieve mass production and is also the lidar with the most design wins worldwide. The M-Series lidar, employing MEMS chips and two-dimensional scanning technology, combines high performance, maturity, and reliability advantages, while providing excellent quality perception point clouds. This enables vehicles to enhance their perception capabilities in various complex scenarios and better address corner cases in autonomous driving perception.

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By integrating the M-Series lidar, developers of autonomous vehicles can flexibly utilize high-quality lidar models through the AURELION platform, which provides synthetic data for perception development, testing, and validation of autonomous driving systems and solutions. As a result, it reduces the training cost for corner cases and accelerates the development, testing, and validation of autonomous vehicles.

Sean Wang, Senior Director of Product at RoboSense, stated, "Through cooperation with dSPACE, RoboSense will effectively assist industry partners in deploying and applying lidar-equipped vehicles. We look forward to deepening our collaboration with dSPACE, fully leveraging the advantages of lidar technology products, and providing strong support for the development of powerful and safe ADAS and autonomous driving systems in the automotive industry, thereby jointly promoting development in the global automotive and autonomous driving industries."

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