A survey on intelligent Internet of Things: Applications, security, privacy, and future directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Applications of artificial intelligence in inventory management: A systematic review of the literature
Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …
must be able to effectively manage their supply chains to achieve high quality, increased …
Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4
Traffic sign detection (TSD) is a key issue for smart vehicles. Traffic sign recognition (TSR)
contributes beneficial information, including directions and alerts for advanced driver …
contributes beneficial information, including directions and alerts for advanced driver …
Deep learning for large-scale traffic-sign detection and recognition
D Tabernik, D Skočaj - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
Automatic detection and recognition of traffic signs plays a crucial role in management of the
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
[HTML][HTML] Assessing urban greenery by harvesting street view data: A review
Urban greenery is of great significance for sustainable urban development due to the
diverse ecosystem services it provides. Assessing urban greenery can reveal its impact on …
diverse ecosystem services it provides. Assessing urban greenery can reveal its impact on …
Detecting and mapping traffic signs from Google Street View images using deep learning and GIS
Street traffic sign infrastructure remains an extremely difficult asset for local government to
manage due to its diverse physical structure and geographical distribution. A spatial …
manage due to its diverse physical structure and geographical distribution. A spatial …
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
While cities around the world are increasingly promoting streets and public spaces that
prioritize pedestrians over vehicles, significant data gaps have made pedestrian mapping …
prioritize pedestrians over vehicles, significant data gaps have made pedestrian mapping …
New automated BIM object classification method to support BIM interoperability
Abstract Industry Foundation Classes (IFC) is widely accepted as the future of building
information modeling (BIM) to take on the challenge of BIM interoperability and enable its …
information modeling (BIM) to take on the challenge of BIM interoperability and enable its …
Neural-network-based traffic sign detection and recognition in high-definition images using region focusing and parallelization
Recent trends in the development of autonomous vehicles focus on real-time processing of
vast amounts of data from various sensors. The data can be acquired using multiple …
vast amounts of data from various sensors. The data can be acquired using multiple …
Panoramic street-level imagery in data-driven urban research: A comprehensive global review of applications, techniques, and practical considerations
J Cinnamon, L Jahiu - ISPRS international journal of geo-information, 2021 - mdpi.com
The release of Google Street View in 2007 inspired several new panoramic street-level
imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent …
imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent …