Vision-based traffic accident detection and anticipation: A survey
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
Driving towards inclusion: Revisiting in-vehicle interaction in autonomous vehicles
This paper presents a comprehensive literature review of the current state of in-vehicle
human-computer interaction (HCI) in the context of self-driving vehicles, with a specific focus …
human-computer interaction (HCI) in the context of self-driving vehicles, with a specific focus …
Ic-gan: An improved conditional generative adversarial network for rgb-to-ir image translation with applications to forest fire monitoring
SPH Boroujeni, A Razi - Expert Systems with Applications, 2024 - Elsevier
This paper introduces a novel Deep Learning (DL) architecture for inferring temperature
information from aerial true-color RGB images by transforming them into Infrared Radiation …
information from aerial true-color RGB images by transforming them into Infrared Radiation …
Diversity maximized scheduling in roadside units for traffic monitoring applications
This paper develops an optimal data aggregation policy for learning-based traffic control
systems based on imagery collected from Road Side Units (RSUs) under imperfect …
systems based on imagery collected from Road Side Units (RSUs) under imperfect …
Real-time detection of road manhole covers with a deep learning model
D Pang, Z Guan, T Luo, W Su, R Dou - Scientific reports, 2023 - nature.com
Road manhole covers are crucial components of urban infrastructure; however, inadequate
maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a …
maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a …
Llm-based smart reply (lsr): Enhancing collaborative performance with chatgpt-mediated smart reply system (acm)(draft) llm-based smart reply (lsr): Enhancing …
CSCW studies have increasingly explored AI's role in enhancing communication efficiency
and productivity in collaborative tasks. AI tools such as chatbots, smart replies, and …
and productivity in collaborative tasks. AI tools such as chatbots, smart replies, and …
Network-level safety metrics for overall traffic safety assessment: A case study
Driving safety analysis has recently experienced unprecedented improvements thanks to
technological advances in precise positioning sensors, artificial intelligence (AI)-based …
technological advances in precise positioning sensors, artificial intelligence (AI)-based …
Remote sensing traffic scene retrieval based on learning control algorithm for robot multimodal sensing information fusion and human-machine interaction and …
In light of advancing socio-economic development and urban infrastructure, urban traffic
congestion and accidents have become pressing issues. High-resolution remote sensing …
congestion and accidents have become pressing issues. High-resolution remote sensing …
Fast key points detection and matching for tree-structured images
This paper offers a new authentication algorithm based on image matching of nano-
resolution visual identifiers with tree-shaped patterns. The algorithm includes image-to-tree …
resolution visual identifiers with tree-shaped patterns. The algorithm includes image-to-tree …
VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety
Traditional highway safety and monitoring solutions, reliant on surveillance cameras, face
limitations due to their dependence on high-speed internet connectivity and the remote …
limitations due to their dependence on high-speed internet connectivity and the remote …