Haoran Xu - IEEE Xplore Author Profile

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Technologies such as Unmanned Aerial Vehicles (UAVs) and deep learning provide robust technical support for urban management tasks. Addressing the significant needs of UAVs in urban management, effectively integrating and utilizing UAVs, artificial intelligence, and big data systems is a key technical issue. This paper focuses on a range of problems in UAV system communication, data management, an...Show More
One of the fundamental tasks in autonomous driving is environment perception for pedestrian detection, where the fused pedestrian detection using camera and light detection and ranging (LiDAR) information imposes challenges since the data alignment, compensation, and fusion between different data modes are challenging and the simultaneous acquisition of data from two different modalities also incr...Show More
In the field of autonomous driving, road information is typically assessed and processed using a combination of 3D and 2D target detection algorithms. Among these, the YOLO series algorithms stand out in the domain of 2D target detection. This paper aims to enhance YOLOv5l and apply it to the field of driverless image processing to improve operational efficiency. Addressing the issues of parameter...Show More
This article presents a voltage-controlled oscillator (VCO)-based continuous-time (CT) sigma delta modulator for recording neural signals. The first integrator of the modulator utilizes a Gm-c structure, which enhances the transconductance of the integrator through an booster amplifier, and uses source degradation to increase the linearity of the integrator. The integrator and DAC apply current re...Show More
Analog-to-Digital Converter (ADC) is an indispensable component in electronic devices. The rapidly evolving electronic information industry places increasingly higher demands on ADC performance, including speed, precision, and power consumption. The Successive Approximation Register (SAR) ADC has garnered widespread attention and application due to its advantages such as high digitization, low pow...Show More
In the current stage of autonomous driving technology, road target detection is a key problem for performing related operations. However, the most of the target detection models are not suitable or difficult to be applied in practical real-time road target detection due to the problems of the large parameter computation and the long discriminative time. To address this series of issues, In this pa...Show More
Smart management of urban space is an important way to achieve the goal of sustainable urban development. Unmanned aerial vehicles (UAVs) have been widely used in urban space management work and have greatly improved the level of it. UAV technology assisting urban space management involves many technical details and has generated a number of problems. Therefore, a systematic review of the applicat...Show More
Soil elements refer to different types of soils with unique colors, textures, and particle sizes. Their interpretation is essential for agriculture, ecological environment, and land permeability assessment. This typically requires experts with dual knowledge of geology and remote sensing. With the increasing volume of remote-sensing data, the traditional “visual interpretation” and “field survey” ...Show More
Unmanned aerial vehicle (UAV) remote sensing and edge computing provide new solutions for geospatial target detection. Recently, the survey of outfalls has become an important task for environmental protection departments in many countries. Traditional survey methods include manual coastal survey, satellite remote sensing, and aerial remote sensing, which are not highly efficient and subject to ma...Show More