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Report

Teaser, summary, work performed and final results

Periodic Reporting for period 1 - ENVISION (Enhanced Situational Awareness through Video Integration with ADS-B Surveillance Infrastructure on Airports)

Teaser

The ENVISION project proposes an innovative low-cost solution for real-time tracking of aircraft and vehicles at airports. Real-time tracking has become an essential requirement for airports to allow enhanced safety, increased controller awareness and optimized airport...

Summary

The ENVISION project proposes an innovative low-cost solution for real-time tracking of aircraft and vehicles at airports. Real-time tracking has become an essential requirement for airports to allow enhanced safety, increased controller awareness and optimized airport operations. Simply speaking, the system provides a ground radar image without radar.
When compared to ENVISION, existing tracking solutions rely on costly and complex infrastructure (Radar, multiple antennae) which not cost effective for small and regional airports.
The proposed ENVISION solution relies on technologies such as video cameras, aircraft transponder positions (ADS-B) and LiDAR sensors (as used in autonomous cars for detecting obstacles and discovering the surrounding environment). In others terms it relies on multiple surveillance sensors to complement and supplementing each other.
ENVISION feeds the controller display, with the most reliable surveillance information from the multiple sources available at any time, including provision for sensor failure.
As such, the project aims to address the following detailed objectives:
- Assess operational impact of using CCTV camera and LIDAR as surveillance sensors providing identification and positioning data for airport surveillance application and airport collaboration tools.
- Define initial safety and performance requirements for use of CCTV and LIDAR as surveillance sensors supplementing ADS-B and required surveillance standard updates.
- Provide a detailed design of the surveillance infrastructure, including technical requirements for CCTV camera, LIDAR sensor, and specification of innovative image processing and data fusion algorithms and interfaces to the ATC and Airport systems.
- Implement surveillance and collaboration interface prototypes integrating the ADS-B, CCTV and LIDAR surveillance sensors.
- Evaluate operational benefits through simulation, demonstration, and live trials in a stepwise approach by validating the implementation in a small airfield and a regional airport.
- Analyze the cost-benefits ratio for such solution through a paper study fed by interviews with airport stakeholders.

Work performed

Different dissemination activities (WP1) were performed starting by a website highlighting project description and outcomes, in addition to main relevant events. The project has also been presented during several international events (World ATM Congress 2018 in Madrid, Airport Show 2018 in Dubai, ProAvia Conference 2018 in Toulouse, Assises du Développement durable in Toulouse), add to that one-on-one discussions held with several interested stakeholders.

Within the framework of the Operational work package (WP2), the first activity was to identify the state of the art in terms of sensing technologies, data sources and applicable standards. In addition, operational and an initial set of safety project requirements together with potential impact on standardization materials have been identified and defined in a the “D2.1 Operational and Safety Requirements” deliverable. The regional airport A-CDM concept has been detailled in this deliverable and uses cases have been identified.

As part of the Technical work package (WP3), a complete surveillance solution has been designed. The ENVISION system integrates sensors (cameras, LIDAR and ADS-B) where the surveillance data, consolidated by the fusion module, feeds the A-SMGCS and the A-CDM user interfaces. Consolidated surveillance data also feeds the A-CDM user interface.
Several LiDAR detection algorithms have been tested.
Two Video Processing algorithms have also been assessed.
The DataFusion module, designed in this first version of the system, centralizes the surveillance data from the different sensors and computes the most accurate position possible for every detected target (aircraft, vehicle or person) in the covered area, the most accurate position possible.
The target position reports, and the flight milestones events (AOBT, ATOT, ALDT, …) feeds the two applications prototypes - an A-SGMCS and an A-CDM GUI, designed for the project.
ENVISION A-CDM is intended to support the EUROCONTROL Advanced ATC Tower CDM concept for regional airports. This means that the Regional Airport will be able to receive accurate arrival times from and send accurate departure times to the EUROCONTROL Network Manager (NM) via their B2B Web Services. ENVISION A-CDM is a browser-based web application that is accessible through any device capable of navigating to the web page.

During this first year, all the trials, validation and demonstration activities (WP4) were held in Muret airfield (ICAO: LFBR). The video cameras and the ADS-B receivers have been deployed since April. The LiDAR module chosen for the project is not designed for outdoor environment, it is transportable and deployed when needed.
Different scenarios, involving cooperative and non-cooperative targets have been defined and several recording sessions have been done from April to September to feed the Technical work package developments.
The first version of the complete ENVISION solution (including sensors, DataFusion and A-SMGCS and A-CDM applications) was deployed in Muret during September. The demonstration, done 5th December, permitted the assessment of overall system performance (D4.1 Demonstration assessment phase1).

Final results

The results presented before must be considered in their relative value with the following limitations. An important part of the remaining work will be to remove these limitations or at least mitigate them:
- The fusion of the position reports is only possible when the position reported by the different sensors are coherent. The DataFusion module is mainly based on the knowledge of the uncertainty of the reported, the consequence is that a fine calibration of all the sensors is essential. Therefore, the position accuracy will be part of the targeted improvement in the second half of the project (i.e. Stereoscopy improvements and Projection improvements).
- In the case of high-density areas, close targets may be scrambled. To mitigate this risk, two enhancement are targeted, first the enhancement of the detection uncertainty, and then the aircraft identification from the video modules.
- Automatic registration recognition for non-cooperative targets has not been implemented yet. The software processing has been implemented and need to be added in the complete control flow.
- The coverage volume where acceptable position reports are provided scarcely exceeds the Parking area. This coverage could be easily using additional sensors.
- The validation scope is limited to small general aviation aircraft, an adaptation of the system may be required for a bigger airport. The validation on Carcassonne LFMK will validate it.


The project will also evaluate the economic feasibility (CBA study) of ENVISION concept for small to medium airport with reasonable infrastructure costs. Additionally, the project will assess the benefits of using this technical solution to feed positioning data to A-CDM.

Website & more info

More info: http://www.envision-s2020.eu/.