activity
20192026
most citedDeep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index

292 citations · 340 across the 20 of their papers we have counts for

collaborators

23 papers

cs.CV2026

A VLM-Enhanced Framework for Comprehensive Traffic Sign Condition Assessment Integrating Daytime Visual Performance and Nighttime Retroreflectivity Evaluation

Linlin Zhang, Neema Jakisa Owor, Xiang Yu +2

Traffic signs are crucial components of road safety, serving as visual tools under all lighting conditions. The Manual on Uniform Traffic Control Devices (MUTCD) specifies daytime…

cs.CV2025

A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance

Neema Jakisa Owor, Joshua Kofi Asamoah, Tanner Wambui Muturi +5

Fisheye cameras offer an efficient solution for wide-area traffic surveillance by capturing large fields of view from a single vantage point. However, the strong radial distortion…

cs.CV2025

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning

Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah +5

Spatial reasoning in large-scale 3D environments such as warehouses remains a significant challenge for vision-language systems due to scene clutter, occlusions, and the need for p…

cs.CV2025

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis

Blessing Agyei Kyem, Neema Jakisa Owor, Andrews Danyo +6

Traffic safety analysis requires complex video understanding to capture fine-grained behavioral patterns and generate comprehensive descriptions for accident prevention. In this wo…

cs.CV202420 cited

PaveSAM Segment Anything for Pavement Distress

Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah +1

Automated pavement monitoring using computer vision can analyze pavement conditions more efficiently and accurately than manual methods. Accurate segmentation is essential for quan…

cs.CV20242 cited

Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras

Linlin Zhang, Xiang Yu, Abdulateef Daud +2

Traffic cameras remain the primary source data for surveillance activities such as congestion and incident monitoring. To date, State agencies continue to rely on manual effort to…