3DAI™ Tracking

 

Tracking objects and people over space and in time is essential for autonomous systems to navigate successfully in dynamic situations. Univrses’ 3DAI Engine includes a tracking component that processes data from cameras on a moving vehicle. The images can be anonymized before being processed to ensure privacy and security requirements are met. The component enables static objects, such as road infrastructure and signs, to be tracked and localized.

It is also capable of tracking dynamic objects like cars and people. This information can be used to ensure autonomous systems operate safely in the real world. It can also be used to identify and track relevant information about the surroundings, such as traffic patterns, pedestrian flows and where there has been damage to the environment. Monitoring this information can provide important insights into how a city (or another environment) evolves and how it can be improved.

 
1. Live tracking of dynamic objects (cars, pedestrians, ...)
2. Tracking of static landmarks (e.g. road infrastructure) for HD mapping
Detecting changes over time (e.g. deteriorations) with long term tracking
Based on images, depth maps or Lidar point clouds
Enhanced by a priori knowledge of objects including images and CAD models
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