Collecting up-to-date roadway geometry data is essential for transportation agencies so they
can undertake planning, maintenance, design, and rehabilitation of roadways. Collection …

Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather
roadway geometry data, leading to significant savings in both time and money. Utilizing …

Efficient and current roadway geometry data collection is critical to transportation agencies
in road planning, maintenance, design, and rehabilitation. Data collection methods are …

Accurate detection of pavement markings at the pixel level is crucial for enhancing traffic
safety. The majority of current advanced deep-learning networks predominantly focus on …

Semantic segmentation plays a significant role in parsing remote sensing images. However,
mainstream segmentation models lack a thorough understanding of the complex structures …

Precision in building delineation plays a pivotal role in population data analysis, city
management, policy making, and disaster management. Leveraging computer vision …

Background: Liver tumors are abnormal growths in the liver that can be either benign or
malignant, with liver cancer being a significant health concern worldwide. However, there is …

Remote sensing images have a variety of application prospects because of their rich
information. Due to recent advances in deep learning methods, solid improvements have …

En la actualidad han surgido sistemas de manejo autónomo con la promesa de prevenir
accidentes viales, la creación de estos sistemas al más alto nivel implica el desarrollo de …

Among available techniques for lateral tracking in autonomous driving, none possess the
capability to learn from past behaviors and progressively reduce lateral errors. In contrast …