We are happy to share the excitement from the article which NVIDIA, well-known GPU’s provider and AI focused tech company, published about DataFromSky – our AI in the Sky!
As the article further explains, we train our deep neural networks using thousands of hours of video footage from around the globe, shot in various weather conditions. The training takes place on NVIDIA GPUs using Caffe and TensorFlow. These specialized neural networks can then recognize objects of interest and continually track them in video footage. The data captured via this AI process is used in numerous research projects, enabling deeper analysis of object interaction and new behavioral models of drivers in specific traffic situations. Ultimately, this kind of data will also be crucial for the development of autonomous vehicles!
We are also carrying out extensive optimizations of the whole architecture, moving to NVIDIA Jetson AGX Xavier, in order to be able to analyze data in real time. Our current work focus is also on the development of an online monitoring drone, which will be able to evaluate image data in real-time, directly during its flight. This type of drone can be used, for example, as a substitute for a police helicopter, or can operate as a mobile surveillance system for personal and property protection.
Read the full article on NVIDIA blog at this link.
We are also a member of the NVIDIA Inception program – virtual accelerator program led by NVIDIA nurtures dedicated and exceptional technological companies, who are revolutionizing industries with advances in AI and data science and help them in all stages of product development, prototyping, and deployment.
Our partner Roelofs has made an analysis with DataFromSky for a big junction in the city center of Brussel, Belgium. The analysis covers the junction between the Leopold II Lane and Sainctelette – one of the biggest and most complex junctions in Brussel. In this case, the video is made by a tethered drone to get a longer survey. Thanks to DataFromSky, it is possible to create a detailed traffic study which was handled to the government of Brussel and its Mobility department, providing the correct data for creating solutions that can improve the traffic flow and safety of this junction.
DataFromSky Aerial analysis is providing complete and detailed telemetry data about each traffic participant:
Do you want to use DataFromSky project in your project? Contact us with your query!Read more
ROELOFS, an exclusive partner of DataFromSky in the Netherlands, carried out comprehensive traffic research of a traffic node in the province of Gelderland. The data collected with a drone and analyzed by DataFromSky Aerial platform will be used as the main source for a study for planned major maintenance in 2021.
The drone was deployed at the roundabout of the N318 Misterweg in Winterswijk. When preparing for the major maintenance of this road, it is also being examined whether road safety can be improved. Besides other things, DataFromSky offers many great features for analysis of traffic behavior and road safety, including analysis of risky situations or near collisions, calculation of Time to Collision, Heavy Breaking and analysis of many other factors.
For many years, the data were collected by people standing on the side and observing the traffic, then the data were evaluated manually. This process was lengthy, inefficient, and had low-precision data output. All of these shortcomings are overtaken with a new modern approach combining 2 great technologies of today world: drones and AI.
Traffic flow – trajectories: green – cars, yellow – heavy vehicles, red – bicycles, blue – pedestrians
Read a post in “de Gerlander” online magazine.Read more
The whole team of DataFromsky is happy to announce that the Technological Agency of Czech Republic has supported our project in the international programme “Delta”. We have succeeded with a project called “Traffic management platform development for big social events using a drone based on visual sensing techniques”.
The aim of the project is to develop an aerial artificial intelligence – a comprehensive mobile platform for real-time monitoring of traffic and big social events, using a UAV and advanced methods of computer vision based on artificial intelligence. The goal of is to develop a fast-deployable system for real-time surveillance of the defined area with automatic object recognition and classification, monitoring and automatic motion evaluation. Extracted image data will be analyzed in order to detect some nonstandard behavior, congestion, zone disturbance, and other user-defined parameters. Traffic data will be used for the immediate evaluation of traffic using simulations. The system has a high potential of being deployed in the traffic monitoring segment (police drone) or in a security field.
The novelty of the solution is in the implementation of intelligent UAV, which will provide information about moving objects during the flight operation, and interpret this data in the context of a particular application. This highly mobile platform is used wherever it is necessary to analyze the real-time situation.
The project is a multidisciplinary task that combines the latest trends in mobile robotics (UAV), computer vision, and automated telemetry analysis. The system will be integrated into a higher unit to evaluate traffic situations and traffic plans based on simulations.
DataFromSky delivers the data for the models of tactical behavior of cyclists communicating their intentions.
The research project focuses on modeling the behavior of bicyclists at intersections under complex traffic situations and interactions with motor vehicle traffic.
Bicycling is an important part of the urban transport system and traffic control measures are necessary to control traffic flow. The capacity and traffic quality of all traffic participants at signalized intersections can be highly influenced depending on the volume of bicycles.
Video data for this project were collected by setting up high definition cameras on the top of the buildings (to obtain suitable aerial view for the DataFromSky Aerial analysis) near several intersections in the cities of Munich and Freiburg in Germany. Explicit and implicit behavior patterns of cyclists at intersections in the video are observed. Explicit behaviors include bicyclists’ body language to reveal their intentions like hand gestures or head movement. Implicit behaviors such as speed change, view change, or path change, indicate the lateral movement of cyclists indirectly. As for lane changing behavior and driving features, such as speed and positions, extracted by DataFromSky, the cyclist’s path selection behavior at intersections is analytically described.
The analyzed video data results in a model that predicts the behavior of cyclists at intersections based on their explicit and implicit behavior patterns in specific traffic situations. The resulting model can be used for example for supporting tactical and operational functions of automated vehicles in specific traffic situations or as an initial analysis that can give traffic and urban planners a very good overview for proposing some traffic adjustments.
This research project, with the use of DataFromSky, is being carried out by Technical University of Munich in Germany, Department of Civil, Geo and Environmental Engineering, lead by Dr. rer. nat. Andreas Keler, Dr.-Ing. Matthias Spangler, created by M.Sc. Georgios Grigoropoulos and Niu Ruixin.
Traffic flow based on trajectries: green – cars, red – cyclists, blue – pedestrians