AI in Air Traffic Management Christian Thurow, Head of R&D at Searidge WWW.SEARIDGETECH.COM/AIMEE
Motivation 1/3 What is Air Traffic Control? 2
Motivation 2/3 Work Increase • Annual Growth: 6-7% • both #passengers and #flights • 2016: 3.7b passengers worldwide Source : International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates. 3
Motivation 3/3 4
Our Goals 5
Our Goals • reduce controller workload 5
Our Goals • reduce controller workload • increase situational awareness 5
Our Goals • reduce controller workload • increase situational awareness • declutter workspace 5
Our Goals • reduce controller workload • increase situational awareness • declutter workspace • provide additional surveillance data source (added safety) 5
What does Searidge do? 6
What does Searidge do? 6
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Challenges 8
Challenges • Building the NN 8
Challenges • Building the NN • Training 8
Challenges • Building the NN • Training • Inferencing Speed 8
Challenges • Building the NN • Training • Inferencing Speed • Safety & Acceptance 8
1. Challenge: building the NN 9
1. Challenge: building the NN • company policy: c++ 9
1. Challenge: building the NN • company policy: c++ • first tried caffe, stayed with it 9
1. Challenge: building the NN • company policy: c++ • first tried caffe, stayed with it • first try with VGG16 9
1. Challenge: building the NN • company policy: c++ • first tried caffe, stayed with it • first try with VGG16 • now VGG19 with custom layers for tracking (37 total) 9
1. Challenge: building the NN • company policy: c++ • first tried caffe, stayed with it • first try with VGG16 • now VGG19 with custom layers for tracking (37 total) • superior performance over previous algorithm 9
1. Challenge: building the NN • company policy: c++ • first tried caffe, stayed with it • first try with VGG16 • now VGG19 with custom layers for tracking (37 total) • superior performance over previous algorithm • problems: small objects 9
2. Challenge: Training 10
2. Challenge: Training • Broad vs. Random Training Initialization? 10
2. Challenge: Training • Broad vs. Random Training Initialization? 10
2. Challenge: Training • Broad vs. Random Training Initialization? • How many annotations needed per site? 10
2. Challenge: Training • Broad vs. Random Training Initialization? • How many annotations needed per site? • Same training set for all airports or specific? 10
2. Challenge: Training • Broad vs. Random Training Initialization? • How many annotations needed per site? • Same training set for all airports or specific? • How many neurons, layers? 10
2. Challenge: Training • Broad vs. Random Training Initialization? • How many annotations needed per site? • Same training set for all airports or specific? • How many neurons, layers? 10
2. Challenge: Training • Broad vs. Random Training Initialization? • How many annotations needed per site? • Same training set for all airports or specific? • How many neurons, layers? • How many Epochs? 10
2. Challenge: Training • Broad vs. Random Training Initialization? • How many annotations needed per site? • Same training set for all airports or specific? • How many neurons, layers? • How many Epochs? 10
3. Challenge: inferencing speed 11
4. Challenge: Safety & Acceptance 12
4. Challenge: Safety & Acceptance • safety first in ATC 12
4. Challenge: Safety & Acceptance • safety first in ATC • need to prove performance 12
4. Challenge: Safety & Acceptance • safety first in ATC • need to prove performance • regulator decides if system may be used operationally 12
4. Challenge: Safety & Acceptance • safety first in ATC • need to prove performance • regulator decides if system may be used operationally • we treat ANN as human, same tests as for ATController 12
Example Images and Videos 13
Example Images and Videos • list a couple of sample sites and show actual video 14
Example Images and Videos 15
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Future Work • Optimal Flight Level Prediction • Optimal Aircraft to Gate Assignment • AI Controller Assist • many potential new application in ATC 19
Thank you for your time. HEAD OFFICE 19 Camelot Drive Ottawa, Ontario K2G 5W6 I’ll be happy to answer PHONE 613 686 3988 any questions you may TOLL FREE 1 866 799 1555 have. EMAIL info@searidgetech.com Thank you!
Challenge: Annotation 21
Plattform Screenshots
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