Browse Conferences
Enhancing SOTIF Analysis Using Model-Based Systems Engineering and Virtual Validation With Focus on Responsibility-Sensitive Safety
As automated driving systems become more widespread, ensuring their safety is paramount. The Safety of the Intended Functionality (SOTIF) analysis, specified in ISO 21448, plays a pivotal role in evaluating these systems' intended functiona...
Detection of Rice Sheath Blight Leaf Based on Improved YOLOV8 Algorithm
Traditional YOLOv8 algorithm fails to achieve the desired detection accuracy in object detection. Therefore, this paper proposes an improved YOLOv8 algorithm by introducing the BiLevel Routing Attention mechanism and the Wasserstein loss fu...
Design and Implementation of VRUs Detection and Speed Estimation Using an Uncalibrated Top-View Perspective Camera
Monitoring Vulnerable Road Users (VRUs) in video surveillance systems is crucial for ensuring road safety, au-tonomous driving, and efficient traffic control. However, con-textual variables including occlusion, varying background conditions...
Decentralized UAV Hangar: A Study for Water Rescue Missions
In recent years, the number of natural disasters such as forest fires and the resulting economic damage and number of victims has increased worldwide. Unmanned Aerial Vehicles (UAV) can react quickly and autonomously in such search and resc...
Dangerous Goods Detection in X-Ray Security Inspection Images Based on Improved YOLOv8
The article presents an enhanced YOLOv8 model, YOLOv8-APSE, for detecting dangerous goods in X-ray security images. YOLOv8-APSE integrates the Adaptive Feature Pyramid Network (AFPN) and Squeeze-and-Excitation (SE) detection heads, focusing...
Cross Scene Hyperspectral Image Classification Combined with Fusional Spatial-Spectral Attention
One of the main challenges in hyperspectral image classification is the small amount of labeled data and the spectral shift problem between the source and target domains in cross scene hyperspectral image classification, which leads to low ...
Comparative Study for Monocular Depth Detection Models on Embedded Systems
Monocular depth detection plays a pivotal role in numerous computer vision applications, particularly on edge devices such as the NVIDIA Jetson Nano, which pose unique constraints in terms of computational resources. This paper presents a t...
A New Approach for Early Detection of Vulnerabilities Across the Automotive Software Development
This paper presents a new approach of evaluating automotive development processes, starting from the early stages of development to the final product. The main objective of this paper is to ensure transparency among stakeholders and provide...
Table of Content
Preface