[PDF][PDF] A Progressive Approach to Generic Object Detection: A Two-Stage Framework for Image Recognition.

M Aamir, Z Rahman, WA Abro, UA Bhatti… - … , Materials & Continua, 2023 - researchgate.net
Object detection in images has been identified as a critical area of research in computer
vision image processing. Research has developed several novel methods for determining …

A visual detection algorithm for autonomous driving road environment perception

P Cong, H Feng, S Li, T Li, Y Xu, X Zhang - Engineering Applications of …, 2024 - Elsevier
Achieving accurate and real-time perception of environmental targets in complex traffic
scenes based on visual sensors is a challenging research problem in the field of …

Fully densely linked and strongly correlated instance segmentation for street-level images

H Wang, Y Shi, C Xie, C Lin, H Hou, J Hua - Journal of Real-Time Image …, 2023 - Springer
Instance segmentation of street-level images is an important part of road perception for
autonomous vehicles. Different from traditional indoor or outdoor scenes, the segmentation …

Detection of Vehicle Density Based on YoloV7 with Images from Cusco, Peru

Y Mamani-Coaquira, SLP Salcedo… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Urban sprawl and the growth of the vehicle fleet have the main problem of vehicular
congestion. Nowadays, there are different ways to generate data from various sources, for …

GMS-YOLO: Improved water meter reading recognition algorithm based on YOLOv8

Y Wang, X Xiang - 2024 - researchsquare.com
Owing to the disorderly arrangement of water meter pipelines and the random rotation
angles of their mechanical numeral wheels, the captured images of water meters reveal …

[PDF][PDF] ETMS: Efficient Traffic Management System for Congestion Detection and Alert using HAAR Cascade

D Indira, DJ Nagamani Tenali, MV Jayavarapu Karthik… - researchgate.net
Rapid social development has resulted in the emergence of a new major societal issue:
urban traffic congestion, which many cities must address. In addition to making it more …