We have the technology... We have the data... What next?
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The document discusses the application of lidar technology and deep learning techniques in geographic data science, highlighting the use of lidar for generating 3D point clouds and detecting features in urban environments. It also mentions advancements in GPU technology for processing data, particularly in the context of autonomous vehicles. The presentation includes various illustrative examples and datasets from urban locations like Liverpool and London.
We have the technology... We have the data... What next?
- 1. 1 We have the technology… We have the data… What next? John Murray Fusion Data Science/University of Liverpool @MurrayData
- 2. LiDAR Aerial ‘Grid’ View 2
- 3. LiDAR Aerial ‘Grid’ View – iCentrum Site 3
- 4. LiDAR Point Cloud – Liverpool Waterfront 4
- 5. LiDAR – UCL London - Raw 5
- 6. LiDAR – UCL London - Filter 6
- 7. LiDAR – UCL London – Edge Detection 7
- 8. LiDAR – UCL London – OS OpenMap Buildings 8
- 9. LiDAR – UCL London – LiDAR Derived Buildings 9
- 10. GPU Technology
- 11. GPU Technology – Autonomous Vehicles
- 13. Deep Learning – Object Recognition
- 14. Deep Learning – Object Recognition
- 15. Deep Learning – Object Recognition
- 16. Deep Learning – Object Recognition
- 17. Deep Learning – Object Detection
- 18. Deep Learning – Object Detection
- 19. Deep Learning – Object Detection
- 20. Deep Learning – Object Detection in LiDAR
- 21. Deep Learning – Object Detection in LiDAR
- 22. Deep Learning – Object Detection in LiDAR
- 23. Deep Learning – Image Segmentation
- 24. Questions and Demo Geographic Data Science Lab University of Liverpool geographicdatascience.com