Lidar, the acronym of light detection and ranging, has received much attention for the automotive industry as a key component for high level automated driving systems due to their high resolution and highly accurate 3D imaging of the surroundings under various weather conditions. However, the price and resolution of lidar sensors still do not meet the target values for the automotive market to be accepted as a basic sensor for ensuring safe autonomous driving. Recent work has focused on MEMS scanning mirrors as a potential solution for affordable long range lidar systems. This paper discusses current developments and research on MEMS-based lidars. The LiDcAR project is introduced for bringing precise and reliable MEMS-based lidars to enable safe and reliable autonomous driving. As a part of development in this project, a test bench for the characterization and performance evaluation of MEMS mirror is introduced. A recently developed MEMS-based lidar will be evaluated by various levels of tests including field tests based on realistic scenarios, aiming for safe and reliable autonomous driving in future automotive industry.
Multi-axial mechanical testing with servo-hydraulic cylinders is used as essential tool within the development and manufacturing process of mechanical components and structures, enabling the experimental validation of the fatigue behavior and related mechanical endurance limits. In this paper we derive the analytical model of servo-hydraulic cylinders feasible for fatigue tests to enable the incorporation of the derived actuator dynamics within multi-axis test control strategies. Our derived cylinder model includes the test cylinder with attached position sensor, and a state-of-the-art servo valve. Based on the obtained cylinder dynamics we propose a simplification to a low order cylinder model, highly desirable for reducing overall system complexity in order to develop ease-of-use controllers of high performance for multi-dimensional test rigs. We compare the simulated output of the derived actuator models with the measured data from a real world test cylinder system. The obtained results show that the obtained system model accurately describes the dynamic properties of a real world test cylinder, and furthermore validates the process of model simplification for efficient control of such cylinders as part of low-bandwidth multi input multi output servo-hydraulic test systems.
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