Vision transformer for detecting critical situations and extracting functional scenario for automated vehicle safety assessment

M Kang, W Lee, K Hwang, Y Yoon - Sustainability, 2022 - mdpi.com
Automated Vehicles (AVs) are attracting attention as a safer mobility option thanks to the
recent advancement of various sensing technologies that realize a much quicker Perception …

An automatic assessment of road condition from aerial imagery using modified VGG architecture in faster-RCNN framework

A Malini, P Priyadharshini… - Journal of Intelligent & …, 2021 - content.iospress.com
To develop a surveillance and detection system for automating the process of road
maintenance work which is being carried out by surveying and inspection of roads manually …

Small obstacles detection on roads scenes using semantic segmentation for the safe navigation of autonomous vehicles

S Yasmin, MY Durrani, S Gillani… - Journal of …, 2022 - spiedigitallibrary.org
Currently, autonomous vehicles and intelligent robots are used in an extensive set of
industrial applications. However, in the recent past, the frequency with which small obstacles …

Improvement of disability rights via geographic information science

S Kocaman, N Ozdemir - Sustainability, 2020 - mdpi.com
Rights, legal regulations, and practices often arise from societal and scientific developments,
and societal transformations may originate from new legal regulations as well. Basic rights …

In-vehicle edge system for real-time dashcam video analysis

S Lee, J King, YC Lee, H Han, S Kang - Internet of Things, 2025 - Elsevier
Modern vehicles equip dashcams that primarily collect visual evidence for traffic accidents.
However, most of the video data collected by dashcams that is not related to traffic accidents …

Nighttime trajectory extraction framework for traffic investigations at intersections based on improved SSD and DeepSort

X Hu, Q Zhang - Signal, Image and Video Processing, 2023 - Springer
Obtaining the nighttime trajectory data of traffic objects at intersections can be of great
significance for traffic investigations. But there are usually many interferences in the …

Real time FPGA-ANN architecture for outdoor obstacle detection focused in road safety

I Algredo-Badillo, LA Morales-Rosales… - Journal of Intelligent …, 2019 - content.iospress.com
Object detection is a technologically challenging issue, which is useful for safety in outdoor
environments, where this object, frequently, represents an obstacle that must be avoided …

Distributed edge-based video analytics on the move

J King, YC Lee - arXiv preprint arXiv:2206.14414, 2022 - arxiv.org
In recent years, we have witnessed an explosive growth of data. Much of this data is video
data generated by security cameras, smartphones, and dash cams. The timely analysis of …

Object Detection for Autonomous Vehicles Using Deep Learning Algorithm

EJ Sai Pavan, P Ramya, B Valarmathi… - … Vision and Bio-Inspired …, 2021 - Springer
Self-driving cars is recently gaining an increasing interest from the people across the globe.
Over 33,000 Americans are killed in car accidents every year and lots of those accidents are …

Implementing Development Status Scheme Based on Vehicle Ranging Technology

CY Ning, JJ Shang, SJ Jiang, DT Pham… - … Intelligence: ICCI 2020, 2022 - Springer
The intelligent vehicle system is the primary trend in the development of modern
transportation. This paper introduces several kinds of ranging technology used in smart …