Projects
Customer Projects
Nuraxys GmbH has worked on several ADAS/AD customer projects for major Tier 1 and OEMs. See an example of success story.
For detailed information, please contact us:
System of radars for L4 autonomous driving vehicles
The project for a Tier 1 supplier aimed at development of a new system of radars for L4 autonomous driving. Nuraxys GmbH consultant participated to the project as a Lead System Engineer.
The project had two stages:
- Stage 1: Nuraxys GmbH assumed the coordination of a system engineering team activities across different countries and continents as well as interface to the customers with the aim to provide a demo for a German Car Manufacturer.
- Stage 2: Nuraxys GmbH defined the system requirements, signal interfaces and co-defined the system architecture for the system of radars Tier 1 final product
Competences provided
- Project management
- System Requirements and Architecture
- Consulting and quality management
- Doors
- ISO26262
- Radar Sensor regulations for the automotive field
- Radar Detection Functions
Specialties
The contribution of Nuraxys GmbH not only put the basis for the development of a new product via the system requirements definition, but Nuraxys consultant provided mentoring within the system engineering group. This led to a significantly more efficient system development process.
R&D-Projects
Nuraxys GmbH has established cooperations with leading research institutions and universities.
See an example of success story.
For detailed information, please contact us:
Detection of critical situations in public buses
Scientific publications
2024 Challenges of Infrastructures for Autonomous Buses in Cities: A review
A. Becciu (1) , E. Kamau (2)
Nuraxys GmbH, Overath
TH Köln - Cologne University of Applied Sciences
Conference Automotive meets Electronics and Control (AmEC)
Abstract
Autonomous shuttles are rapidly emerging as key technology to optimize urban vehicle traffic. Several cities worldwide are currently investigating this system of transport; however, there are still several open issues. This paper reviews the main critical challenges faced by municipalities in integrating autonomous shuttles into their infrastructure. It discusses routes, charging stations, communication nets, public perception and legal frameworks. In particular a proposal for the German regulations will be discussed.
2023 Emulation of Autonomous Driving Functions of an L7e Vehicle using Real Sensor Data and a Real-time Target Machine
E. Kamau (1) , A. Becciu (2) , A. Stockem Novo (3)
TH Köln - Cologne University of Applied Sciences
Nuraxys GmbH, Overath
University of Applied Sciences Ruhr West
Conference Automotive meets Electronics (AmE)
Abstract
Advance of Autonomous driving functions pose new challenges for their application on different variety of vehicles, the increasing complexity of the vehicle architecture, higher expectation of safety, lower environmental impact and higher comfort. In order to perform a system test, alternative solutions to vehicle test are investigated with the goal to improve the cost efficiency and lower the environmental impact. In this work the development of a hardware in the loop (HiL) solution for emulating longitudinal and lateral control algorithms using real data acquired with cameras installed in a L7e vehicle is investigated. Such a vehicle is expected to play a major role in the future of the automotive industry for its comparatively low carbon emissions, however it presents challenges for sensor application as compared to passenger cars, due to the low availability of publicly available data that can be used to test and develop automated driving functions. First results presented in this work show the feasibility of emulating longitudinal vehicle dynamics using vision sensor data collected with a lightweight L7e vehicle.
