20 citations · 31 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images
Neema Jakisa Owor, Hang Du, Abdulateef Daud +2
The Pavement Condition Index (PCI) is a widely used metric for evaluating pavement performance based on the type, extent and severity of distresses detected on a pavement surface.…
Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation
Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor +2
Real-time pavement condition monitoring provides highway agencies with timely and accurate information that could form the basis of pavement maintenance and rehabilitation policies…
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos
Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah +2
Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes. Previous studies have…
The 1st Data Science for Pavements Challenge
Ashkan Behzadian, Tanner Wambui Muturi, Tianjie Zhang +13
The Data Science for Pavement Challenge (DSPC) seeks to accelerate the research and development of automated vision systems for pavement condition monitoring and evaluation by prov…