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With the rapid advancement of rail transportation technology, particularly in high-speed rail, efficient and accurate obstacle detection is a crucial research focus. Traditional methods often depend on extensive datasets and complex computations, ...

YOLOv10 is critical but limited in robot visual obstacle avoidance under market demand. In order to improve the real-time, accuracy and performance in dark light and high noise environments, the study carried out three optimizations: firstly, the quality ...

As the prevalence of vision impairment continues to rise worldwide, there is an increasing need for affordable and accessible solutions that improve the daily experiences of individuals with vision impairment. The Visually Impaired (VI) are often ...

• The YOLOv5s network model is structurally optimized.
• The GS-YOLOv5s algorithm is deployed to the Raspberry Pi.
• The obstacle avoidance control algorithm is combined with the RPi hardware.
• The obstacle avoidance system for the ...

The basecutter collides with obstacles in the field while sugarcane harvesters operate, easily damaging the blades of the basecutter. The design of an emergency obstacle avoidance system with machine vision and deep learning for sugarcane ...

• Developed a remote safety system for robot tractor to save labor and increase monitoring efficiency.
• Low-cost monocular cameras are used for obstacle detection and positioning.
• The Q-Q plot and t-test are proposed to improve the ...

Japanese agriculture faces serious problems caused by labor shortages due to both a decline in the agricultural population and the aging of the remaining agricultural population. Japanese government is actively promoting the use of agricultural ...

Water-obstacles detection based on semantic segmentation is an essential part of autonomous navigation of unmanned surface vehicles (USV). However, it is difficult for existing methods to ensure the real-time of water-obstacles recognition and ...

• We complete an novel lightweight water-obstacles detection network.
• We adopt a novel backbone, which is bottleneck structure with attention block.
• Dilated convolution is adopted in the depthwise separable convolution (DW ...

• Clustering method based on region-growth and density-clustering is used to detect point cloud.
• For obstacle association, we define obstacle geometric and density features to increase the accuracy.
• The designed kalman filter can ...

The existing 3D lidar-based obstacle detection and tracking methods are inaccurate. Furthermore, as the number of obstacles increases, particularly in the agricultural machinery working scene with many machineries, ridges, and pedestrians, these ...

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Powered prostheses for lower extremities are an advancing technology, with recent developments reducing their weight while increasing their autonomy and capabilities. One problem that powered prosthesis users face is the change of gait pattern ...

Achieving high accuracy of blind road condition recognition in real-time is important for helping visually impaired people sense the surrounding environment. However, existing systems are mainly designed based on general objects ...

• Technical vulnerability analysis for existing smart wearable systems.
• Vision-...

When a disaster strikes, one of the highest priorities is to save the lives of the victims. The proportion of victims that rescuers can save is strongly related to how quickly rescue efforts can begin. Therefore, early detection of disaster ...

Pedestrian safety has emerged recently as a public health challenge worldwide. People are being physically harmed due to losing focus on their surroundings and putting safety at risk. Though pedestrian safety is a shared responsibility,...

• This study identifies a wide range of safety systems offered for pedestrians and discusses their efficiency and usability.

At least 2.2 billion people are visually impaired, with the main problem being a lack of autonomy and safety when moving around the city. To solve those needs, a wearable assistive system for vision impairment people, with low cost and open-source ...

People with visual impairments can face challenges with independent navigation and therefore may use traditional aids such as guide dogs, white canes, or a travel companion for navigation assistance. In recent years, researchers have been working ...

The purpose of this study is to suggest a new method that can easily detect obstacles surrounding by use of a circle line laser and fisheye camera. This system can be attached to a mobile robot, and obstacle detection can be taken in real time while ...

In this paper, we study a new data mining problem of obstacle detection. Intuitively, given two kinds of trajectories, i.e., reference and query trajectories, the obstacle is a region such that most query trajectories bypass this region, whereas ...

With the explosive growth of E-commerce markets such as online shopping consumption and live delivery, various problems in the express industry have seriously affected the good experience of users to some extent, especially the problem of the last ...

• A trinocular vision system is set up for orchard obstacle avoidance.
• Grayscale morphology filtering is used for trunk regions enhancement.
• Optical flow method is used for trunk regions prediction.
• Coupling geometric constraint ...

Nowadays the use of visual navigation in orchard is rapidly growing, while current research mainly focuses on orchard row detection or obstacle detection separately. The economic, fast and reliable navigation vision system that completing orchard ...

• Data acquisition platform based on 2D/3D LiDAR and GNSS/AHRS was established.
• ...

Obstacle detection and recognition in the farmland environment is of great significance to unmanned agricultural machinery navigation technology. In this study, a tractor platform based on 3D/2D LiDAR and GNSS/AHRS was built to acquire ...

• An image process pipeline is introduced to locate guava fruits and obstacles.
• A ...

In unstructured orchard environments, picking a target fruit without colliding with neighboring branches is a significant challenge for guava-harvesting robots. This paper introduces a fast and robust collision-free path-planning ...

Recently, the technology of assisting the navigation of visually impaired persons with computer vision has been greatly developed. A number of scholars have conducted related research, including indoor and outdoor object detection for blind ...