Show source-provided references
1. Taylor, B., Allen, M., Henson, P., Gao, X., Malik, H., and Zhu, P. (2025). Enhancing Drone Navigation and Control: Gesture-Based Piloting, Obstacle Avoidance, and 3D Trajectory Mapping. Appl. Sci., 15.
10.20944/preprints202505.1473.v1 ↗2. European Union Aviation Safety Agency (2025, February 20). Annual Safety Review 2024. Available online: https://www.easa.europa.eu/en/document-library/general-publications/annual-safety-review-2024.
3. Federal Aviation Administration (2025, February 20). Airplane Flying Handbook, (FAA-H-8083-3C), Available online: https://www.faa.gov/regulations_policies/handbooks_manuals/aviation/airplane_handbook.
4. Human factors analysis of accidents involving visual flight rules flight into adverse weather
5. Federal Aviation Administration (2025, July 29). How to Avoid a Mid Air Collision, Available online: https://www.faasafety.gov/gslac/alc/libview_normal.aspx?id=6851.
6. Torres, Á., Molina, J.P., García, A.S., and González, P. (2024). Prototyping of augmented reality interfaces for air traffic alert and their evaluation using a virtual reality aircraft-proximity simulator. Proceedings of the 2024 IEEE Conference Virtual Reality and 3D User Interfaces, IEEE.
10.1109/VR58804.2024.00101 ↗7. I can see clearly now
8. Turner, T. (2025, February 20). Mid-Air Strategies. Aviation Safety. Available online: https://aviationsafetymagazine.com/risk_management/mid-air-strategies.
9. UK Civil Aviation Authority (2025, February 20). Investigation into the Human Factors Effects of Electronic Conspicuity Devices in UK General Aviation. Available online: https://www.caa.co.uk/our-work/publications/documents/content/cap2583/.
10. UK Airprox Board (2017). When every second counts. Airprox Mag., 2–3. Available online: https://www.airproxboard.org.uk/media/ov1navc2/airprox-magazine-2017.pdf.
11. Federal Aviation Administration (2025, February 20). Pilots’ Role in Collision Avoidance, Advisory Circular AC 90-48E, Available online: https://www.faa.gov/regulations_policies/advisory_circulars/index.cfm/go/document.information/documentID/1041368.
12. Midair collisions: Limitations of the see-and-avoid concept in civil aviation
13. Traditional and modern strategies for optical flow: An investigation
20. Dynamic depth estimation of weakly textured objects based on light field speckle projection and adaptive step length of optical flow method
10.1016/j.measurement.2023.112834 ↗22. Allasia, G., Rizzo, A., and Valavanis, K. (2021). Quadrotor UAV 3D path planning with optical-flow-based obstacle avoidance. Proceedings of the 2021 International Conference on Unmanned Aircraft Systems, IEEE.
10.1109/ICUAS51884.2021.9476762 ↗26. Lai, Y.-C., and Lin, T.-Y. (2024). Vision-based mid-air object detection and avoidance approach for small unmanned aerial vehicles with deep learning and risk assessment. Remote Sens., 16.
10.3390/rs16050756 ↗27. Park, M.-H., Cho, J.-H., and Kim, Y.-T. (2023). Real-Time Optical Flow Estimation Method Based on Cross-Stage Network. Appl. Sci., 13.
10.3390/app132413056 ↗28. Campbell, R.D., and Bagshaw, M. (2002). Human Performance and Limitations in Aviation, John Wiley & Sons.
10.1002/9780470774472 ↗29. Vera-Yanez, D., Pereira, A., Rodrigues, N., Molina, J.P., García, A.S., and Fernández-Caballero, A. (2024). Optical flow-based obstacle detection for mid-air collision avoidance. Sensors, 24.
10.3390/s24103016 ↗30. Ahn, S., Kyung, Y., Choi, S., Choi, D., and Choi, D. (2025). Monocular Vision-Based Obstacle Height Estimation for Mobile Robot. Appl. Sci., 15.
10.20944/preprints202509.2100.v1 ↗31. Tushar, C., and Kroll, S. (1994). The New Technical Trader, John Wiley & Sons.
34. Farnebäck, G. (2003). Two-frame motion estimation based on polynomial expansion. Scandinavian Conference on Image Analysis, Springer.
10.1007/3-540-45103-X_50 ↗36. Airborne LiDAR assisted obstacle recognition and intrusion detection towards unmanned aerial vehicle: Architecture, modeling and evaluation
10.1109/TITS.2020.3023189 ↗37. Ester, M., Kriegel, H.-P., Sander, J., and Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, AAAI Press.
38. Roud, O., and Bruckert, D. (2011). Cessna 172 Training Manual, Memel CATS.
39. Kong, L.-K., Sheng, J., and Teredesai, A. (2014). Basic micro-aerial vehicles (MAVs) obstacles avoidance using monocular computer vision. Proceedings of the 2014 13th International Conference on Control Automation Robotics & Vision, IEEE.
10.1109/ICARCV.2014.7064451 ↗41. Detection of airborne collision-course targets for sense and avoid on unmanned aircraft systems using machine vision techniques
10.1142/S2301385016500102 ↗42. Benhadhria, S., Mansouri, M., Benkhlifa, A., Gharbi, I., and Jlili, N. (2021). VAGADRONE: Intelligent and Fully Automatic Drone Based on Raspberry Pi and Android. Appl. Sci., 11.
10.3390/app11073153 ↗43. Kopardekar, P.H. (2014). Unmanned Aerial System (UAS) Traffic Management (UTM): Enabling Low-Altitude Airspace and UAS Operations, Tech. rep.