[HTML][HTML] The YOLO framework: A comprehensive review of evolution, applications, and benchmarks in object detection
This paper provides a comprehensive review of the YOLO (You Only Look Once) framework
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
Deep directly-trained spiking neural networks for object detection
Spiking neural networks (SNNs) are brain-inspired energy-efficient models that encode
information in spatiotemporal dynamics. Recently, deep SNNs trained directly have shown …
information in spatiotemporal dynamics. Recently, deep SNNs trained directly have shown …
YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities
N Rane - Available at SSRN 4624206, 2023 - papers.ssrn.com
The rise of Industry 4.0 and the emerging paradigm of Industry 5.0 have driven
unprecedented technological progress in various fields. Central to this transformation are …
unprecedented technological progress in various fields. Central to this transformation are …
Roadmap for cybersecurity in autonomous vehicles
VK Kukkala, SV Thiruloga… - IEEE Consumer …, 2022 - ieeexplore.ieee.org
Autonomous vehicles are on the horizon and will be transforming transportation safety and
comfort. These vehicles will be connected to various external systems and utilize advanced …
comfort. These vehicles will be connected to various external systems and utilize advanced …
[HTML][HTML] Comparative analysis of multiple YOLO-based target detectors and trackers for ADAS in edge devices
P Azevedo, V Santos - Robotics and Autonomous Systems, 2024 - Elsevier
Accurate detection and tracking of vulnerable road users and traffic objects represent vital
tasks for autonomous driving and driving assistance systems. The recent developments in …
tasks for autonomous driving and driving assistance systems. The recent developments in …
Enhancing autonomous driving safety: a robust traffic sign detection and recognition model TSD-YOLO
R Zhao, SH Tang, J Shen, EEB Supeni, SA Rahim - Signal Processing, 2024 - Elsevier
As autonomous driving technology rapidly advances, Traffic Sign Detection and Recognition
(TSDR) has become pivotal in ensuring the safety and regulatory compliance of …
(TSDR) has become pivotal in ensuring the safety and regulatory compliance of …
Hyp-ow: Exploiting hierarchical structure learning with hyperbolic distance enhances open world object detection
Open World Object Detection (OWOD) is a challenging and realistic task that extends
beyond the scope of standard Object Detection task. It involves detecting both known and …
beyond the scope of standard Object Detection task. It involves detecting both known and …
A survey of FPGA-based vision systems for autonomous cars
On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …
working hard to continue to increase safety while meeting technical and regulatory …
Recent Advances in 3D Object Detection for Self-Driving Vehicles: A Survey.
OA Fawole, DB Rawat - AI, 2024 - search.ebscohost.com
The development of self-driving or autonomous vehicles has led to significant
advancements in 3D object detection technologies, which are critical for the safety and …
advancements in 3D object detection technologies, which are critical for the safety and …
[HTML][HTML] Few-shot object detection in remote sensing imagery via fuse context dependencies and global features
B Wang, G Ma, H Sui, Y Zhang, H Zhang, Y Zhou - Remote Sensing, 2023 - mdpi.com
The rapid development of Earth observation technology has promoted the continuous
accumulation of images in the field of remote sensing. However, a large number of remote …
accumulation of images in the field of remote sensing. However, a large number of remote …