Developing Next-Generation Lidar with Model-Based Design

Model-Based Design has become a cornerstone of Valeo's development of automotive lidar systems, an essential component of its advanced driver assistance systems portfolio. This strategic approach is driven by the imperative to shorten market delivery times, expedite development cycles, meet escalating performance demands, and achieve cost-effective designs. This presentation highlights the effective application of Model-Based Design in the development of Valeo's lidar sensor motor-driven laser-shooting system. The process of generating a sensor's point cloud starts with laser shots driven by a motor, positioning the design as a critical juncture for the development teams. Among the technical challenges faced are ensuring azimuth precision, maintaining accuracy, and addressing missing shots in the point cloud. Additionally, adherence to ISO 26262 standards is required.

Attendees will gain insights into how MATLAB^® and Simulink^® streamline concept evaluation, algorithm design, and plant modeling. The algorithms developed include precise control, offline calibration, online corrections. Area and timing-optimized code is generated using HDL Coder™. Model testing is conducted with Simulink Test™, while HDL Verifier™ is employed to automatically repurpose model testbenches for verifying HDL code, ensuring a comprehensive and efficient development cycle.