1.5k citations
- Technical University of MunichDE3 papers
- Ericsson (Sweden)SE2 papers
- ETH ZurichCH2 papers
- German Research Centre for Artificial IntelligenceDE2 papers
- Huawei Technologies (Germany)DE2 papers
- Intel (United States)US2 papers
- Jagiellonian UniversityPL2 papers
- Saarland UniversityDE2 papers
- Samsung (United Kingdom)GB2 papers
- Technische Hochschule AugsburgDE2 papers
- APCON (Germany)DE1 paper
- Brookhaven National LaboratoryUS1 paper
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 8 cited
Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs
Syed Qutub, Florian Geissler, Yang Peng +4
Object detection neural network models need to perform reliably in highly dynamic and safety-critical environments like automated driving or robotics. Therefore, it is paramount to…
eess.SP2022★ 4 cited
Cooperative RADAR Sensors for the Digital Test Field A9 (KoRA9): Algorithmic Recap and Lessons Learned
Sören Kohnert, Julian Stähler, Reinhard Stolle +1
Infrastructure sensing systems in combination with Infrastructure-to-Vehicle communication can be used to enhance sensor data obtained from the perspective of a vehicle, only. This…