https://www.dspace.com/en/pub/home/medien/videos/companyvideos/video_sensor_vehicle_intro.cfm
With the dSPACE sensor vehicle, we flexibly collect realistic, specialized, and high-quality environment data for new dSPACE product developments, for customer projects, solution demonstrations, and for artificial intelligence (AI) training and validation purposes. We improve our products with AI for your autonomous driving tasks.

https://www.youtube.com/watch?v=eGplTKayiE4
With the dSPACE sensor vehicle, we flexibly collect realistic, specialized, and high-quality environment data for new dSPACE product developments, for custom

https://www.dspace.com/en/pub/home/news/sensor-vehicle-rooftop-box.cfm
Our sensor vehicle is equipped with a rooftop box containing sensors (cameras, lidar, radar) and the powerful dSPACE AUTERA data logging hardware. This way, we flexibly collect realistic, specialized, and high-quality environment data for new dSPACE product developments, for customer projects, solution demonstrations, and for AI training and

https://finance.yahoo.com/news/dspace-ces-2024-solutions-data-130600308.html
PADERBORN, Germany & WIXOM, Mich., December 19, 2023--dSPACE at CES 2024: New Solutions for Data-Driven Development, Simulation, and Validation of Electric and Self-Driving Cars

https://www.linkedin.com/posts/dspace-group_dspace-works-with-aws-to-drive-innovation-activity-7210942284991762432-2mFa
The development of systems for automated vehicles in the automotive sector, industrial off-highway, agriculture, or robotics requires mastering of data logging, data management, production

https://www.autonomousvehicleinternational.com/news/ai-sensor-fusion/dspaces-intempora-and-brightdrive-collaborate-on-real-time-system-development-and-data-annotation-for-avs.html
BrightAnnotate is a semi-automated data annotation AI engine designed to provide ground truth annotations for scenes captured by various sensors. Using deep learning models and manual quality assurance, BrightAnnotate's four modules cover traffic participants, road models, traffic control information and static environments.

https://www.electronicspecifier.com/products/artificial-intelligence/dspace-and-aws-to-drive-innovation-in-autonomous-driving-with-gen-ai
In this new initiative, we are creating innovative capabilities in scenario generation for autonomous vehicle validation. Using generative AI technologies, we ensure that our customers can easily create realistic and diverse simulation scenarios to develop safer and more reliable autonomous vehicles," says André Rolfsmeier, Director of

https://www.dttechsolutions.com/images/products/DSpace/dSPACE-AutonomousDriving_2020-12_EN.pdf
hicles become reality. dSPACE solutions provide an integra-ted development and test environment - from data logging to homologation. Highlights Data logging: robust in-vehicle data logging system with outstanding performance to record sensor raw data and vehicle bus data Data enrichment: automated data anonymization and

https://www.ai-online.com/2019/06/dspace-strenghtens-ai-expertise-by-acquiring-understand-ai/
"Marc Mengler and I are looking forward to working with dSPACE to improve local customer service, accelerate our international growth, and further expand our global leadership position in solutions for providing training and validation data," adds Philip Kessler, co-founder and CTO of understand.ai. In the development and introduction of

https://www.automotiveworld.com/news-releases/dspace-integrates-hesai-lidar-models-into-the-aurelion-sensor-simulation-solution-accelerating-the-development-of-autonomous-driving-applications/
Hesai Technology, a global leader in lidar technologies for autonomous mobility systems, ADAS and industrial robotics applications, and dSPACE, one of the world's leading providers of simulation

https://www.dspace.com.tw/en/ltd/home/learning-center/recordings/online-workshop-complete-data.cfm
The complex process for implementation and homologation of autonomous vehicle software/hardware demands a powerful and flexible end-to-end, data-driven development (DDD) toolchain. dSPACE provides a complete solution for DDD, based on open standards, physics-based sensor simulation, AI-based scenario generation, scenario-based testing, and

https://www.dspace.com.tw/en/pub/home/news/dspace_pressroom/press/developing-applications-for-au.cfm
Paderborn, March 24, 2022. dSPACE is working tirelessly with the automotive industry to make the dream of autonomous driving come true. Now, the Paderborn-based company is sending a sensor vehicle with a dSPACE design out onto the roads to record traffic data.

https://www.dspace.com/en/pub/home/news/dspace_pressroom/press/dspace-works-with-aws-to-drive.cfm
In this new initiative, we are creating innovative capabilities in scenario generation for autonomous vehicle validation. Using generative AI technologies, we ensure that our customers can easily create realistic and diverse simulation scenarios to develop safer and more reliable autonomous vehicles," says André Rolfsmeier, Director of

https://www.autonomousvehicleinternational.com/news/simulation/aves-reality-and-dspace-partnership-enables-the-validation-of-autonomous-driving-sensors-and-algorithms-in-3d-environments.html
The Aurelion simulation software is used during the entire development process, including for software-in-the-loop testing, hardware-in-the-loop testing, or for scaled validation in the cloud. Aurelion benefits from an extensive library of sensor models, enabling new sensors to be recreated in simulation solutions before reaching market.

https://www.autonomousvehicleinternational.com/news/sensors/dspace-integrates-robosense-models-into-aurelion-sensor-simulation-solution.html
Through a technology partnership, dSPACE has integrated sensor models from RoboSense - a developer of smart lidar systems - into Aurelion, its sensor simulation solution to speed up the development, testing and validation of lidar functions in ADAS and autonomous driving applications.

https://www.dynafusiontech.com/dynafusion-direct-2022-08/
Video: The dSPACE Sensor Vehicle - Recording training data for our AI development With the dSPACE sensor vehicle, we collect high-quality environment data for new dSPACE product developments, for customer projects, solution demonstrations, and for AI training and validation. We improve our products with AI for your autonomous driving tasks.

https://www.automotivetestingtechnologyinternational.com/news/data-storage/dspace-unveils-in-vehicle-prototyping-and-datalogging-system.html
The box's data storage unit has a solid-state disk for storing bandwidths of up to 50Gb/s, and it can be fitted with hardware accelerators to filter and evaluate data during tests. It has extensive bus and network support, records accurate time stamps, and supports camera interfaces from most manufacturers.

https://www.oemoffhighway.com/engineering-manufacturing/software/press-release/21078268/dspace-dspace-acquires-understandai
dSPACE, the leading provider of solutions for the development of networked, autonomous, and electrically powered vehicles, acquires the start-up company understand.ai. Under the umbrella of the dSPACE group companies, understand.ai will invest in the core tasks 'artificial intelligence (AI) applications' and 'cloud-based tools', further develop its existing products as an integral part

https://www.scientific-computing.com/news/dspace-acquires-understandai
'Marc Mengler and I are looking forward to working with dSPACE to improve local customer service, accelerate our international growth, and further expand our global leadership position in solutions for providing training and validation data,' adds Philip Kessler, co-founder and CTO of understand.ai. In the development and introduction of

https://www.dspace.com.tw/en/pub/home/news/news_archive.cfm?whichSite=7&katid=0
Since the middle of 2022, vehicle manufacturers now have to prove that their vehicles comply with the cybersecurity stipulations of UNECE 155 when registering a new vehicle type. So time is short to effectively validate the integrity and authenticity of communication between ECUs and the vehicle and back-end systems.

https://www.autonomousvehicleinternational.com/news/business/dspace-to-acquire-software-startup-understand-ai.html
The underlying key technology is also based on artificial intelligence and ensures efficient data analysis, as well as precise data annotation. Both dSpace and understand.ai will be exhibiting at Autonomous Vehicle Technology Expo in Novi, MI, on October 22, 23, 24, 2019. Entry to the exhibition is free of charge, just register here for your badge.

https://documente.net/document/summer-practice-projects-2019-iai-at-the-end-of-the-internship-period-the.html
SUMMER PRACTICE PROJECTS 2019 IAȘI · At the end of the internship period the student should be