Bus Depot Autonomy System
The autonomous depot system optimizes the necessary vehicle operating tasks within bus depots. Activities such as accessing the petrol station, passing through the car wash, entering the service hall, parking under the pantograph or parking precisely in the designated space are all done without the driver. The automatic scheduling of activities for each vehicle in the fleet, makes it possible to minimize the time from entering the depot to the parking destination.
The system operates in both open spaces and buildings. Using obstacle detection and emergency braking algorithms, the system performs tasks in a collision-free manner and allows other people and vehicles to move through the area.
All bus activities in the autonomous mode are recorded on the on-board computer with the possibility of replay and verification. This makes it possible to generate legible reports on the time taken to complete tasks and journeys made.
Vehicle autonomy system in closed areas
Vehicle autonomy system is designed for vehicles on roads where there is no typical urban traffic. It enables the automation of the movement of different types of vehicles, both passenger and technical, on predefined routes. Our system is equipped with an advanced set of sensors that precisely keep the vehicle on the planned route with an accuracy of up to 15 cm. In addition, it enables seamless avoidance of obstacles encountered along the route, ensuring smooth and reliable operation.
ZeroVision
ZeroVision is an innovative system that reduces the blind spots around the vehicle to zero. It provides invaluable support to drivers when parking and during precise maneuvers. Through advanced visualization, ZeroVision enables drivers to see obstacles in the immediate vicinity of the vehicle, effectively minimizing the risk of a collision. The system consists of an advanced set of sensors operating in two modalities – lidar and camera, a computational unit and a screen that displays the vehicle’s surroundings in real time. With ZeroVision, drivers are assured that their maneuvers are safe and precise.
PathProof
PathProof is a service for verifying the routes traveled by a vehicle, based on precise measurement of global location using GPS+RTK. As part of this service, an accurate trip is made along a route specified by the customer, on the basis of which a report is generated containing the actual distance traveled by the vehicle. With PathProof, the customer is assured of the accuracy of the route taken, and the report can be used, among other things, for settlements with the carrier.
HDMap
HDMap is a comprehensive high-resolution mapping service dedicated to the precise localisation of autonomous vehicles. Our service includes the generation of detailed maps in the form of dense point clouds on which all relevant elements of the road infrastructure for autonomous vehicles are accurately mapped. These elements include traffic lanes, pedestrian crossings and road infrastructure such as traffic lights and signs.
Our maps are not only precise, but also extremely versatile. They can be imported into simulation environments, allowing a wide variety of test scenarios to be effectively implemented in virtual environments that replicate real urban areas. Thanks to their precision, HDMap maps can also be used to verify the correspondence between the real state and the project, providing certainty and efficiency in the development of autonomous vehicles.
Rental of an autonomous research platform
Vision-based geometry estimation system
Our innovative system provides the perfect support for traditional lidar sensors, offering extremely precise vision-based geometry estimation for a moving vehicle. The system generates point clouds that are much denser and free of typical lidar artefacts such as ‘ghosts’ (false objects). As a result, it provides outstanding accuracy, especially in difficult conditions such as the presence of highly reflective surfaces (e.g. road signs).
The system continuously monitors the quality of the data and automatically compensates for differences through precise camera synchronisation. The average distance determination error is just 2% over a range of 0.5-50 metres.
Thanks to its modular design, the system can be easily adapted to specific needs and vehicle configurations. It can complement lidars or even replace them without the need to develop new algorithms, significantly reducing the cost of building a customer solution.
