Cleared to land a multi-view vision-based deep learning approach for distance-to-touchdown prediction
With the broader adoption of digital air traffic control towers, real-time video data is expected to complement the current surveillance system (if available) and improve airport performance in terms of safety and efficiency. However, to fully utilize such data, a suite of computer vision algorithms...
Saved in:
Main Authors: | Pham, Duc-Thinh, Goenawan, Gabriel James, Alam, Sameer, Koelle, Rainer |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169529 https://www.atmseminar.org/upcoming-seminar/papers-and-presentations/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Real-time departure slotting in mixed-mode operations using deep reinforcement learning : a case study of Zurich airport
by: Pham, Duc-Thinh, et al.
Published: (2021) -
Touchdown indentation of the seabed
by: Palmer, A.
Published: (2014) -
Causal effects of landing parameters on runway occupancy time using causal machine learning models
by: Lim, Zhi Jun, et al.
Published: (2021) -
Data-driven runway occupancy time prediction using decision trees
by: Chow, Hong Wei, et al.
Published: (2021) -
A cooperative co-evolutionary optimisation model for best-fit aircraft sequence and feasible runway configuration in a multi-runway airport
by: Md Shohel Ahmed, et al.
Published: (2018)