380.256 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Seuring, Stefan |
| |
| Nor Azizi, S. |
| |
| Pato, Margarida Vaz |
| |
| Kölker, Katrin |
| |
| Huber, Oliver |
| |
| Király, Tamás |
| |
| Spengler, Thomas Stefan |
| |
| Al-Ammar, Essam A. |
| |
| Dargahi, Fatemeh |
| |
| Mota, Rui |
| |
| Mazalan, Nurul Aliah Amirah |
| |
| Macharis, Cathy | Brussels |
|
| Arunasari, Yova Tri |
| |
| Nunez, Alfredo | Delft |
|
| Bouhorma, Mohammed |
| |
| Bonato, Matteo |
| |
| Fitriani, Ira |
| |
| Autor Correspondente Coelho, Sílvia. |
| |
| Pond, Stephen |
| |
| Okwara, Ukoha Kalu |
| |
| Toufigh, Vahid |
| |
| Campisi, Tiziana | Enna |
|
| Ermolieva, Tatiana |
| |
| Sánchez-Cambronero, Santos |
| |
| Agzamov, Akhror |
|
Tabani, H.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2023An automotive case study on the limits of approximation for object detectioncitations
- 2023Dynamic and execution views to improve validation, testing, and optimization of autonomous driving software
- 2023Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systemscitations
- 2023At-Scale Evaluation of Weight Clustering to Enable Energy-Efficient Object Detection
- 2023Tracking Coherence-Related Contention Delays in Real-Time Multicore Systemscitations
- 2022Contention Tracking in GPU Last-Level Cachecitations
- 2022At-scale evaluation of weight clustering to enable energy-efficient object detectioncitations
- 2022At-scale assessment of weight clustering for energy-efficient object detection acceleratorscitations
- 2022ADBench: benchmarking autonomous driving systemscitations
- 2021Enabling unit testing of already-integrated AI software systems: The case of Apollo for autonomous drivingcitations
- 2021Performance Analysis and Optimization Opportunities for NVIDIA automotive GPUscitations
- 2021On the Definition of Resource Sharing Levels to Understand and Control the Impact of Contention in Multicore Processorscitations
- 2021Empirical Evidence for MPSoCs in Critical Systems: The Case of NXP's T2080 Cache Coherencecitations
- 2020On the reliability of hardware event monitors in MPSoCs for critical domainscitations
- 2020IntPred: Flexible, fast, and accurate object detection for autonomous driving systemscitations
- 2020A cross-layer review of deep learning frameworks to ease their optimization and reusecitations
- 2020Timing of Autonomous Driving Software: Problem Analysis and Prospects for Future Solutionscitations
- 2020En-Route: On enabling resource usage testing for autonomous driving frameworkscitations
- 2020CleanET: Enabling timing validation for complex automotive systemscitations
- 2019Performance analysis and optimization of automotive GPUscitations
- 2018Safety-related challenges and opportunities for GPUs in the automotive domaincitations
Places of action
| Organizations | Location | People |
|---|