CyberMAP Cyber-physical Multi-factor Authentication-based Positioning for Autonomous Vehicles

Purpose and goal:

The project aims to test a proof-of-concept for using a new concept, shapetags, which is a cyber-physical marker in favor of the safe and sustainable driving of vehicles. A shapetag is a physical object in a location in reality and can be interpreted by a connected autonomous vehicle´s sensors for e.g. localization purposes. As each shapetag is uniquely designed, these can also be used to associate metadata with physical things.

In addition to the above technical aim, the project aims to investigate future collaborations between Pennsylvania State University and AstaZero. Expected results and effects:

Accurate vehicle positioning can prevent collisions. In addition to this, improved vehicle localization increases efficiency, as smarter decisions can be made both locally in the car and at the vehicle fleet level, based on a flow optimization perspective.

Shapetags can be 3D-printed and work in environments where GPS signals are not received. This promotes both sustainability and enables positioning in challenging situations, such as tunnels or in cities with tall skyscrapers. In addition, knowledge is transferred between the US and Sweden, and new collaborations are enabled.

Approach and implementation:

The project includes both online collaboration and physical visits where the teams work on implementation, integration, and testing at the respective facility.

Initially, a test protocol for shapetag detection is created, with parameters such as shapetag size, lighting conditions, weather, and distance between shapetag and sensor. Then follows physical integration and testing of the shape-tag method at each facility. The results are then analyzed and conclusions are documented.

Concurrently, funding opportunities for further collaborative projects are investigated.