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20242026
most citedAutomated Vehicle Driver Monitoring Dataset from Real-World Scenarios

3 citations · 3 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Optimising CSRNet with parameter-free attention mechanisms for crowd counting in public transport

Aida Rostamza, Enrico Del Re, Joshua Cherian Varughese +1

Occupancy estimation and crowd counting are critical tasks in designing smart and efficient public transport vehicles. Given that public transport loading can vary from sparse to c…

cs.CV2025

Tensor-Based Self-Calibration of Cameras via the TrifocalCalib Method

Gregory Schroeder, Mohamed Sabry, Cristina Olaverri-Monreal

Estimating camera intrinsic parameters without prior scene knowledge is a fundamental challenge in computer vision. This capability is particularly important for applications such…

cs.CV2025

ClearLines - Camera Calibration from Straight Lines

Gregory Schroeder, Mohamed Sabry, Cristina Olaverri-Monreal

The problem of calibration from straight lines is fundamental in geometric computer vision, with well-established theoretical foundations. However, its practical applicability rema…

cs.CV2025

Shadow Erosion and Nighttime Adaptability for Camera-Based Automated Driving Applications

Mohamed Sabry, Gregory Schroeder, Joshua Varughese +1

Enhancement of images from RGB cameras is of particular interest due to its wide range of ever-increasing applications such as medical imaging, satellite imaging, automated driving…

cs.CV2024

Inadequate contrast ratio of road markings as an indicator for ADAS failure

Novel Certad, Cristina Olaverri-Monreal, Friedrich Wiesinger +1

Road markings were reported as critical road safety features, equally needed for both human drivers and for machine vision technologies utilised by advanced driver assistance syste…