Vehicle state estimation is a vital task when it comes to automotive testing. From the vehicle concept development, and all the
way down to the ADAS validation, knowing the state of a vehicle at a specific time instance is a cornerstone of automotive R&D.
The objective of this student project, is to develop an own algorithm for estimating the state of a given vehicle, including
position, pose, velocity over ground and acceleration.
For this, the student will make use of cost-effective inertial measurement units, as well as a GPS receiver for correction data.
For online processing, a PIC will be provided; and offline processing will take place in Matlab environment.
The students will then compare their algorithms to state-of-the-art sensor technology.
- Dozent/in: Eduardo Sanchez Morales
- Mitdozierende/r: Vinita Veerendra Gathani
- Mitdozierende/r: Martin Herbert Raith
- Mitdozierende/r: Vishal Rajendra Kumar
- Mitdozierende/r: Arun Subramanian Sankara Narayanan
- Mitdozierende/r: Rajanpreet Singh
- Mitdozierende/r: Subash Subbiah
- Mitdozierende/r: Apoorva Suresh
- Mitdozierende/r: Sathya Vasudevan
- Mitdozierende/r: Johannes Weber