Cars with ADAS functions and automated cars have many sensors installed to detect what is around them.
The automotive sensors like cameras, radars, LIDARS, GPS, ultrasonic and others are the eyes and ears of the car.

The Software is the brain of the car. It classifies objects with information from the sensors, and defines the actions taken by the vehicle, like to stop, go, or slow down.
Many of these functions are based on artificial intelligence algorithms. But how can we trust these algorithms to behave correctly in all situations?

Kontrol technology verifies the vehicle’s path planning decisions. We compare the planned vehicle path with the applicable regulations (e.g. traffic act), in order to ensure safety and compliance.

Autonomous car’s path planning algorithms are not visible to the public, and taking into consideration that every company uses its own protected algorithm, how can we ensure they all use the same criteria for decision making? And what to do if something unexpected happens?
Our solution acts as a comprehensive secondary safety system. In addition to our Kontrol monitor, which ensures regulatory compliance and safety of the car, we offer a secondary fail operational path planner.
This path planner can offer the vehicle an alternative maneuver, if the nominal trajectory is unsafe or not allowed.

Future is coming. Future where speed is the most important whatever field is taken: private, business, culture. Humanity needs something more efficient than driving. It’s a time for flying, but flying has to be in a safe way – according flying rules.

During development process it’s needed to go thru all possible scenarios for your flying vehicle to ensure as much safety as possible. Simulation environment is the best way how to do it, especially if you need to combine different simulators at one place.

Flying vehicles such as flying taxis or drone are powered by satellites and radio stations. Vehicle has to be sure about location, environment and other conditions. But it’s possible to extend capabilities by detection objects for example. What would you like to do in addition?

Even if you went thru all scenarios in simulation environment, there is still a little percent which has to be covered by testing in a real world. To do this process as safe as possible and ensures safety in the future emergency path planner applies actions in emergency cases.