For a digital city project using specialised technology SLI-GroupAutonomous vehicles are playing a key role in the digitalisation of the urban environment. These vehicles are equipped with advanced sensors, cameras and other equipment, to monitor and analyse urban infrastructure.

VehicleCharacteristics

1. Autonomy:
   • Autonomous Driving Level: Level 4 (the vehicle can move without driver input in most situations, requiring minimal human intervention ).
   • Ability to automatically navigate city streets.
2. Office hours:
   • The vehicle must be able to run for 8-10 hours without recharging, equivalent to a full working day of data collection and task completion.
3. Speed:
   • Maximum speed up to 60 km/h in urban conditions.
   • Adjustable speed for efficient scanning and data collection in traffic restricted areas.
4. Load capacity:
   • Ability to transport scanning and data processing equipment.
5. Weather Resistance:
   • Operates in temperature ranges from -30°C to +40°C.
   • Waterproof and dustproof equipment (IP67).

Interior equipment of the vehicle

1. Cameras and sensors:
   • LiDAR (LiDAR):For creating 3D maps of the urban environment, reading road surfaces and analysing infrastructure in detail.
   • High resolution (4K) cameras:For real-time video surveillance and photogrammetry, allowing you to capture important objects on the road.
   • Thermal imaging and infrared cameras:For detecting hidden defects, such as overheated infrastructure or asphalt problems .
   • Ultrasonic sensors and radars:For safe manoeuvring in dense urban environments and obstacle avoidance.
2. Data transmission system:
   • 4G/5G module:For seamless real-time data transmission to data servers and control centre.
   • Wi-Fi and Bluetooth:For local data transfer and connection to other devices on site.
3. Navigation systems:
   • GPS and GLONASS:For accurate navigation in urban environments.
   • Inertial Motion Units (IMU):To maintain stability and accuracy when travelling, especially in areas with limited access to satellite systems.
4. Data processing on board:
   • AI-enabled on-board computer:To analyse data in real time, which allows the vehicle to make autonomous decisions depending on the task at hand (e.g. obstacle avoidance, route selection ).
   • Memory for data storage:At least 1 TB for storing data before it is transferred to the server.
5. Energy Efficiency:
   • Electric motor:For environmentally friendly operation in urban environments with minimal noise and emissions.
   • Batteries with fast charging:Charging time – no more than 1 hour.

Software

1. Mapping and monitoring software:
   • Creation of 3D maps of urban infrastructure with the ability to track changes in real time.
   • Analytical programmes for assessing the condition of roads, buildings and other objects of the urban environment.
2. Management and monitoring system:
   • Software for remote control of the vehicle and monitoring of its movements.
   • Supports a safety system that allows you to react to changes in traffic or obstacles .
3. Support for automatic updates:
   • Ability to update software wirelessly for improved performance and bug fixes.

Conclusion

This autonomous vehicle SLI-Group is designed to fulfil the demanding tasks of monitoring and digitalisation of urban infrastructure. Thanks to advanced technology, the machine is able to collect data even in places where it is difficult to use drones or other equipment, where the use of drones or other technology is difficult. The car is a key element in creating a safer, more efficient and technologically advanced urban environment.