Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images
Real-time traffic monitoring based on artificial intelligence (AI) models is essential for efficient transportation management, but it faces significant computational challenges, particularly when processing high-resolution video footage. Modern traffic monitoring systems typically rely on AI-based...
Saved in:
| Main Authors: | Tewodros Syum Gebre, Eden Tsehaye Wasehun, Freda Elikem Dorbu, Gazali Oluwasegun Agboola, Ali Karimoddini, Leila Hashemi-Beni |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10965602/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic
by: A. A. Testeshev, et al.
Published: (2021-12-01) -
Comparison of the Accuracy of Traffic Flow Intensity and Speed Measurement Using a Camera System and Measuring Devices Such as Sierzega and SDR on a Congested Road
by: Alica Kalašová, et al.
Published: (2025-06-01) -
Ambient air nitrogen dioxide concentration and the growing incidence of asthma in school-aged children
by: P.N. Sari, et al.
Published: (2025-07-01) -
A fiber-optic traffic monitoring network trained with video inputs
by: Khen Cohen, et al.
Published: (2025-08-01) -
SUAVPy: A SUMO Plugin for UAV-Based Ground Traffic Sensing
by: Charalambos Tsioutis, et al.
Published: (2025-07-01)