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Self-driving future

We will see autonomous driving technology everywhere within a few years. Autonomous transportation will improve cargo delivery, make taxis safer, and alter the infrastructure of cities.

Sensors on autonomous vehicles provide a 360° view to constantly monitor the situation on the road and the surroundings. Compared to an experienced driver, this solution takes less time to make the right decision. Unlike humans, it is not affected by emotions and does not become tired or distracted. A total control of the road and a quick decision-making process make traffic safer.

Autonomous technology will change basic logistics scenarios, solve major issues such as lack of experience, and significantly reduce risks of emergencies. The technology increases business efficiency, reduces delivery time, and expands transport areas.

Developing autonomous driving technology requires the latest advancements in science and extensive academic knowledge. To meet the automotive industry’s demands, we combine recognition and decision-making algorithms, use big data and machine learning, and develop cybersecurity solutions.

Autonomous transport — whatever the task
We are capable of adapting our technology to various types of transport, including passenger cars and cargo trucks.

Vehicles

Trucks
- With self-driving technology, cargo transportation will be changed in a positive way, with improved safety, faster deliveries, and the reduction of most risks and costs.

Passenger cars
- Production vehicles can become self-driving during a production cycle or at a specialized station.

Electric vehicles
- In electric vehicles, there is no steering wheel, no control panel, and no driver's seat. The configuration of batteries and electric motors allows for both passenger and cargo modificvations.

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Heavy machinery/ Closed areas

Robotic and tele-operated mining equipment:

- dump trucks
- drilling rigs
- bulldozers

Infrustructure/ V2X

- Continuous data exchange between vehicles and road infrastructure
- Real-time data transmission
- Informing about events on the road in conditions of lack of direct visibility
- Independence from global communication channels

A simple “seeing” is not enough

Our software has been developed to process sensor data. By analyzing the context, it chooses the most safe algorithm for everyone on the road. Unmanned vehicles react faster than experienced drivers, making autonomous technology both safer and faster.
The car processes every piece of information it receives through lidars, radars, and cameras in real time. As a result of data analysis and neural networks, the vehicle can recognize objects accurately, while HD maps determine the vehicle’s location with an accuracy of a few centimeters.
A self-driving vehicle predicts drivers’ and pedestrians’ behavior using algorithms and machine learning. Once it recognizes the logic, speed, and direction of an object, it makes the most appropriate decision. The importance of this is especially evident at intersections or crossings as well as when changing lanes.
On the basis of the collected data, the car determines the safest and most efficient route to take. As a result, the vehicle knows when to slow down or pick up speed to maneuver. Autonomous technology is also able to react quickly in an emergency, reducing the risk of accidents.

The key to safety is testing

Several steps are involved in testing autonomous technology. Our cars are only sent to the city when we are absolutely certain that they are safe. Tests for climatic, vibration, and electromagnetic compatibility are mandatory for all components.

We can recreate any driving situation accurately using a simulator. Self-driving cars learn to react to various circumstances, including very rare ones, in this way.
Tests can be conducted in conditions as similar to real life as possible, which would be dangerous in the city: emergency braking, sharp maneuvers, and fully autonomous control.
Prior to this step, most of the driving scenarios and situations were already tested on the tests grounds. It is now safe to drive in live traffic.

Lidars, radars, and cameras continuously monitor the road environment. With the three technologies combined, there are no blind spots, so the car can see everything around it.

With radars, a 3D model of the environment is created, which helps a vehicle navigate. The vehicle can estimate the distance and speed of objects near it using this data.

Lidars generate precise maps by scanning surroundings continuously with millions of laser beams. It is radar that observes space, and lidar that constructs a comprehensive picture of that space. All activities around a car are detected by lidars, including cars, pedestrians, and everything else.

Important visual information is recognized by cameras. They are able to recognize the color of traffic lights and understand traffic signs and road markings. The picture of the constantly changing environment around the car becomes complete and navigable this way.

ZR RoboTruck. Dump truck robotization system

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