LLC “Connectivity” has developed a software module for processing data from the accelerometer, gyro, magnet compass and the smartphone GPS-receiver. The main objective of the module is to define over-a-distance vehicle-tilt angle and to identify car motion parameters (acceleration/deceleration zones on the trajectory of motion and their characteristics, lateral accelerations, turn and lane-change detection). To solve this task the data clearing algorithm was developed, as well as the algorithm estimating values of car motion parameters.
Together with specialists of LLC “NPP SATEC plus” we implemented a real-time road sign information and lane departure warning prototype system via one video camera installed in the car.
This project is presented on our web-site as a demonstration of capabilities of our design engineers in the field of video and photo image intelligent processing.
Automatic recognition of real world objects such as road signs and lane is a difficult and science intensive task: variety of weather conditions, flecks, blur caused by fast motion, nonconformance of signs and lane marking to GOSTs etc., set very high requirements to intelligence of algorithms.
In the framework of the contest held by the CROC Company designers of LLC “Connectivity” together with engineers of LLC “NPP SATEC plus” developed software for multi-rotor UAV tracking the marker video image and computing the landing trajectory in its center.
The solution of the task was aggravated not only by absence of environmental restrictions (lighting, location of the marker), but also by the limits of the quadrotor hardware (unstable frame rate, multiplexing of video streams with non-assured time delay, low accuracy of on-board inertial navigation system, delay in actuating paths). All this required developing specific algorithms and debugging their real-time implementations.
LLC “NPP SATEC plus” with contributions from engineers of LLC “Connectivity” performed research in the sphere of autonomous video stream navigation of an UAV group. The problem featured through the lack of communication with global navigation systems (UAVs were indoors), i.e. there was no possibility to use GPS or GLONASS to define the location. The location of each particular UAV was defined by it off-line (based on video stream processing) relative to the visual markers (QR-codes). Then quadrotors exchanged information to generate a unified map of indoor markers.
Development of hardware and software for LED-displays and software for the server forwarding information on the display.
The result is the technical project on the system and cost estimation of the equipment, as well the prototype of an electronic LED-display with a GPS communication channel with a server and a prototype of server software for trolleybus movement coordinate collecting.