Blog: Ensuring Safety in the Era of Autonomous Driving: An Outlook on Data Replay HIL Stations and HIL Scalability
Establishing safe autonomous vehicles is an ongoing challenge requiring a cooperative effort by the automotive industry and legislative bodies. Data replay testing brings about new challenges at the HIL level as well as for the scalability of HIL clusters and efficient cloud backbone connectivity. In our newest blog post, our colleague Bassam Abdelghani explores these challenges and possible solutions.
Transferring the Complexity of the Real World to Simulation
dSPACE and understand.ai offer a new service that generates simulation scenarios from recorded measurement data used to validate functions for autonomous driving and driver assistance. With this offer, dSPACE supports its customers in the automotive industry in developing autonomous vehicles quickly and efficiently using realistic simulation.
dSPACE announces a novel V2X HIL solution, developed in cooperation with NORDSYS GmbH, for testing advanced safety V2X applications and connected automated vehicles.
Watch the video to learn more about testing a new level of V2X communication, such as collective perception with the potential to save lives in critical traffic situations.
Blog: With TargetLink into the Adaptive Future of Model-Based Development
Adaptive AUTOSAR, the new standard of the AUTOSAR Consortium, covers a wide range of application, including autonomous driving and networked cars. At the same time, its architecture changes some fundamental development paradigms. Read the dSPACE Blog to learn how TargetLink enables the development of Adaptive AUTOSAR-compliant control functions and their validation.
Today, the GWM brand portfolio includes innovative production vehicles such as the Wey P8 plug-in hybrid and the Ora R1 electric car. During development, the company used the production code generator dSPACE TargetLink as well as other tools from the TargetLink Ecosystem.
Watch this video to get a first impression of the future dSPACE solution for sensor-realistic simulation (2021): With highly accurate environment sensor simulation, realistic lighting and weather effects as well as and camera, lidar, and radar models. For testing and validation in real time – or even faster.
Scenario Generation: Intelligently Setting the Scene
Using the dSPACE and understand.ai solution for generating simulation scenarios, thousands of tests of safety-critical driving scenarios with special hardware and software can be performed by simulation.
Release 2020-B User Documentation Available on dSPACE Website
dSPACE Help for Release 2020-B is available for dSPACE customers on the website. To access dSPACE Help, please register with your license ID at mydSPACE.
저희 전문 지식 서비스에 가입하세요. dSPACE의 성공적인 프로젝트 사례를 확인해 보세요. 시뮬레이션 및 검증에 대한 최신 정보를 받아보세요. 지금 바로 dSPACE 다이렉트(뉴스레터)를 구독하세요.
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