Les systèmes destinés à la conduite autonome utilisent divers capteurs d’environnement. Afin de simuler les capteurs dans une installation HIL réalisée pour la fusion de capteurs et les tests de fonction, il est essentiel de synchroniser précisément la stimulation de chaque capteur. The dSPACE Environment Sensor Interface Unit supports the time-correlated feeding of raw sensor data to one or more sensor ECUs.
L'Unité ESI (Environment Sensor Interface) de dSPACE est la réponse flexible à la question sur comment alimenter des signaux numériques large bande dans des calculateurs de caméra, de radar et de lidar tout en maintenant la corrélation temporelle et de faibles latences. L’un des plus grands défis dans le développement de fonctions pour la conduite automatisée est la validation de capteurs d’environnement. Because many development departments use the NVIDIA® DRIVE™ PX2 and AGX platforms in their predevelopment and research for automated driving, dSPACE now offers the ESI Unit in an out-of-the-box variant that is preconfigured for these NVIDIA® platforms and can be used for inserting camera raw data. Les solutions dSPACE pour la simulation de capteurs et de l'environnement peuvent être utilisées directement avec l'Unité ESI préconfigurée pour valider les fonctions de conduite automatisée.
For the development and validation of environment sensors, e.g., radar, camera and lidar, and more generally the validation of ADAS/AD functions, support for a range of ECU interfaces for data insertion is essential. In addition to testing based on over-the-air methods and object lists, the insertion of raw data or target lists is of utmost importance for the validation of perception and fusion algorithms that are based on raw data. The Environment Sensor Interface (ESI) Unit supports all relevant sensor interfaces and is eminent for closed-loop and open-loop testing. Advanced sensor simulation in combination with the ESI Unit makes it easy to provide synthetic sensor data under realistic conditions and with low latencies. This is useful for validating functions for autonomous driving in hardware-in-the-loop (HIL) simulation, in both closed- and open-loop scenarios. If RTMaps is used as well, recorded sensor data can be replayed conveniently.
The Environment Sensor Interface Unit supports the injection of raw data and target lists for HIL tests of camera, radar, and lidar ECUs as well as central processing units for autonomous driving. Thanks to its flexible and scalable architecture, the ESI Unit supports, for example, lidar point cloud data injection via 10 Gigabit Ethernet, radar raw data injection via MIPI CSI-2, and camera raw data injection via TI FPD-Link III or Maxim GMSL. To meet the requirements of next-generation ECUs, the ESI Unit can be configured to simulate the latest sensors, including FPGA-based sensor models. A single ESI Unit simulates up to twelve sensors synchronously and supports more than 50 Gbit/s of aggregated bandwidth. Multiple combined ESI Units let you test functions for autonomous driving with dozens of different sensors. Special customer requirements and functions can be implemented directly on the ESI Unit thanks to the powerful Xilinx® UltraScale+™ FPGA.
As NVIDIA® DRIVE PX2 and AGX platforms are widely used in predevelopment and research for functions for autonomous driving, dSPACE provides a preconfigured ESI Unit for camera raw data injection. In combination with dSPACE AURELION (Sensor Simulation) and RTMaps (Data Replay) up to four cameras (Sekonix SF332x) can be simulated as an off-the-shelf version.
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Sensor interfaces |
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Design |
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Camera |
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Radar |
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Lidar |
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1) Disponible sur demande.
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