Automatic identifier of socket for electrical vehicles using SWIN-transformer and SimAM attention mechanism-based EVS YOLO
Electric vehicle (EV) technology is emerging as one of the most promising solutions for
green transportation. The same growth occurs in the charging infrastructure development …
green transportation. The same growth occurs in the charging infrastructure development …
Real-time detection of road manhole covers with a deep learning model
D Pang, Z Guan, T Luo, W Su, R Dou - Scientific reports, 2023 - nature.com
Road manhole covers are crucial components of urban infrastructure; however, inadequate
maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a …
maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a …
Enhancing object detection in self-driving cars using a hybrid approach
Recent advancements in artificial intelligence (AI) have greatly improved the object
detection capabilities of autonomous vehicles, especially using convolutional neural …
detection capabilities of autonomous vehicles, especially using convolutional neural …
High-speed YOLOv4-tiny hardware accelerator for self-driving automotive
Object detection is an important area in self-driving automotive. The YOLO algorithm and its
well-embedded implementation is a promising solution for object detection. In this paper, a …
well-embedded implementation is a promising solution for object detection. In this paper, a …
Infrastructure 3D Target detection based on multi-mode fusion for intelligent and connected vehicles
X Zhang, L He, R Lv, C **, Y Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Autonomous driving technology faces significant safety challenges due to the lack of a
global perspective and the limitations of long-range perception capabilities. It is widely …
global perspective and the limitations of long-range perception capabilities. It is widely …
End-to-End Object Detection by Sparse R-CNN with Hybrid Matching in Complex Traffic Scenes
X Han, Z Qu, SY Wang, SF **a… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Object detection is an important research topic in traffic scenes. Although object detection
based on deep learning has made some progress, it is still a challenge to improve the …
based on deep learning has made some progress, it is still a challenge to improve the …
YOLO-based personal protective equipment monitoring system for workplace safety
Occupational health and safety are of paramount importance in industrial environments and
various work fields. In this context, tracking personal protective equipment (PPE) is highly …
various work fields. In this context, tracking personal protective equipment (PPE) is highly …
SLKIR: A framework for extracting key information from air traffic control instructions Using small sample learning
P Jiang, C Zeng, W Pan, B Han, J Zhang - Scientific reports, 2024 - nature.com
In air traffic control (ATC), Key Information Recognition (KIR) of ATC instructions plays a
pivotal role in automation. The field's specialized nature has led to a scarcity of related …
pivotal role in automation. The field's specialized nature has led to a scarcity of related …
Corrections to “an implementation of real-time traffic signs and road objects detection based on mobile GPU platforms”
In the above article, two references, were missing. The first sentence of Section 3.1 should
read “The datasets of this work include various class images from the dataset used in, our …
read “The datasets of this work include various class images from the dataset used in, our …
Vehicle trajectory prediction with interaction regions and Spatial–Temporal attention
D Cheng, X Gu, C Qian, C Du, J Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicle trajectory prediction is a key technology in autonomous driving, one of the aims of
which is to ensure the safety of vehicle travelling and lane changing. Especially in complex …
which is to ensure the safety of vehicle travelling and lane changing. Especially in complex …