ANavS – Advanced Navigation Solutions has three lines of business: precise positioning systems, precise mapping systems and snow monitoring systems. The core of the ANavS positioning systems is a modular and flexibly configurable sensor fusion of GNSS, inertial, odometry, UWB, camera and Lidar measurements. The innovative positioning algorithms were developed and patented by ANavS and include newest RTK/ PPP and AI methods. The main products of ANavS are the Multi-Sensor RTK module, the RTCM base station, and the Integrated Sensor Platform (ISP) with 3 integrated GNSS receivers, an IMU, a wheel odometry interface, 2 cameras, a 3D Lidar, an LTE module for the reception of RTK corrections, and a processor for the sensor fusion. The ANavS products have a large range of applications including the automotive, robotics, automation, maritime, railway, aerospace, agriculture and mining industries.
You will be part of our agile software development team and contribute to our tightly coupled sensor fusion framework. The core of the algorithm is written in Matlab and C/C++. Your job will be to bring/improve the complementary advantages of all our sensors into an extended Kalman filter. Especially a robust position and attitude determination with meaningful integrity-level estimation plays a major in your task.
You will work in a growing team with flat hierarchies and expertise in computer vision, deep learning, software development, sensor fusion and embedded hardware development. You contribute to exciting manifold projects, for example in the automotive industry, and work together with partners such as BMW, Continental, Intel, Schaeffler and KIT.
Your Tasks:
- Improvement of our tightly coupled sensor fusion framework
- Development of innovative approaches of position integrity
- Extending the sensor fusion framework based on new sensors/chips
- Development of Continuous Integration (CI) and code quality tools
- Adaption of our sensor fusion framework to specific customer projects
- Close cooperation with our embedded hardware team
- Patenting and publishing of developed approaches is encouraged
- Comprehensive experience in Matlab and C/C++
- Degree in electrical, geodesy or aerospace engineering (or comparable) with focus on GNSS
- Experience in statistics and filter techniques (e.g. Kalman filter)
- Experience with good coding practices and design pattern
- High motivation to contribute to the technical development, ability to work independently and willing to adapt to flexible tasks
- Team player with quick perception, reliability and accuracy
- Good communication skills in English and German