Jianzhu Huai

Wuhan University | WHU · School of Remote Sensing Information Engineering

Navigation/positioning systems have become critical to many applications, such as autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart cities. However, it is difficult to provide a robust, accurate, and seamless solution with single navigation/positioning technology. For example, the Global Navigation Satellite Sys...

Cameras with rolling shutters (RSs) dominate consumer markets but are subject to distortions when capturing motion. Many methods have been proposed to mitigate RS distortions for applications such as vision-aided odometry and three-dimensional (3D) reconstruction. They usually need known line delay d between successive image rows. To calibrate d ,...

Camera–inertial measurement unit (IMU) sensor fusion has been extensively studied in recent decades. Numerous observability analysis and fusion schemes for motion estimation with self-calibration have been presented. However, it has been uncertain whether the intrinsic parameters of both the camera and the IMU are observable under general motion. T...

The rapid development of the Bluetooth technology offers a possible solution for indoor localization scenarios. Compared with other indoor localization technologies, such as vision, Light Detection and Ranging, Ultra Wide Band, etc., Bluetooth has been characterized as low cost, easy deployment, low energy consumption and potentially high localizat...

In recent years, indoor positioning has drawn intensive attention for both pedestrian and mobile robot applications. Among various indoor positioning technologies, visible light positioning has many advantages due to its high localization accuracy, high bandwidth, energy-efficiency, long lifetime, and cost-efficiency. For post-processing or semi-re...

Nonlinear systems of affine control inputs overarch many sensor fusion instances. Analyzing whether a state variable in such a nonlinear system can be estimated (i.e., observability) informs better estimator design. Among the research on local observability of nonlinear systems, approaches based on differential geometry have attracted much attentio...

The Rolling Shutter (RS) mechanism is widely used in consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. RS leads to image distortion when the camera moves relative to the scene while capturing images. This effect needs to be considered in structure-from-motion, and vision-aided odometry, for which recent studi...

Camera-IMU (Inertial Measurement Unit) sensor fusion has been extensively studied in recent decades. Numerous observability analysis and fusion schemes for motion estimation with self-calibration have been presented. However, it has been uncertain whether both camera and IMU intrinsic parameters are observable under general motion. To answer this q...

More and more devices, such as Bluetooth and IEEE 802.15.4 devices forming Wireless Personal Area Networks (WPANs) and IEEE 802.11 devices constituting Wireless Local Area Networks (WLANs), share the 2.4 GHz Industrial, Scientific and Medical (ISM) band in the realm of the Internet of Things (IoT) and Smart Cities. However, the coexistence of these...

The rolling shutter (RS) mechanism is widely used by consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. The RS effect leads to image distortion upon relative motion between a camera and the scene. This effect needs to be considered in video stabilization, structure from motion, and vision-aided odometry, for w...

Given that the BDS-3 (Beidou System-3) has been accomplished and works well, there are increasing demands for localization and navigation in daily life. However, BDS-3’s signals cannot cover some challenging areas such as urban canyons and indoor environments. To extend the availability of the navigation system, other positioning technologies are r...

In this paper, we propose a real-time and low-drift localization method for lidar-equipped robot in indoor environments. State-of-the-art lidar localization research mostly uses a scan-to-scan method, which produces high drifts during the localization of the robot. It is not suitable for robots to operate indoors (such as factory environment) for a...

State estimation problems without absolute position measurements routinely arise in navigation of unmanned aerial vehicles, autonomous ground vehicles, etc., whose proper operation relies on accurate state estimates and reliable covariances. Unaware of absolute positions, these problems have immanent unobservable directions. Traditional causal esti...

State estimation problems that use relative observations routinely arise in navigation of unmanned aerial vehicles, autonomous ground vehicles, \etc whose proper operation relies on accurate state estimates and reliable covariances. These problems have immanent unobservable directions. Traditional causal estimators, however, usually gain spurious i...

Motion estimation by fusing data from at least a camera and an Inertial Measurement Unit (IMU) enables many applications in robotics. However, among the multitude of Visual Inertial Odometry (VIO) methods, few efficiently estimate device motion with consistent covariance, and calibrate sensor parameters online for handling data from consumer sensor...

We have observed a common problem of solving for the marginal covariance of parameters introduced in new observations. This problem arises in several situations, including augmenting parameters to a Kalman filter, and computing weight for relative pose constraints. To handle this problem, we derive a solution in a least squares sense. The solution...

In recent years, commodity mobile devices equipped with cameras and inertial measurement units (IMUs) have attracted much research and design effort for augmented reality (AR) and robotics applications. Based on such sensors, many commercial AR toolkits and public benchmark datasets have been made available to accelerate hatching and validating new...

Visual place recognition and simultaneous localization and mapping (SLAM) have recently begun to be used in real-world autonomous navigation tasks like food delivery. Existing datasets for SLAM research are often not representative of in situ operations, leaving a gap between academic research and real-world deployment. In response, this paper pres...

Targeted at operations without adequate global navigation satellite system signals, simultaneous localization and mapping (SLAM) has been widely applied in robotics and navigation. Using data crowdsourced by cameras, collaborative SLAM presents a more appealing solution than SLAM in terms of mapping speed, localization accuracy, and map reuse. To b...

Kinect-style RGB-D cameras have been used to build large scale dense 3D maps for indoor environments. These maps can serve many purposes such as robot navigation, and augmented reality. However, to generate dense 3D maps of large scale environments is still very challenging. In this paper, we present a mapping system for 3D reconstruction that fuse...

This paper presents an inversed quad tree merging method for hierarchical high-resolution remote sensing image segmentation, in which bottom-up approaches of region based merge techniques are chained. The image segmentation process is mainly composed of three sections: grouping pixels to form image object/region primitives in imagery using inversed...

In order to overcome the complexity of region merging in the segmentation of high resolution remote sensing images, an edge-guided segmentation method for multi-scale and high resolution remote sensing image was proposed. First, SUSAN operator was used to extract feature edges from the original test image. Then, a graph-based segmentation algorithm...

Satellite sensor technology endorsed better discrimination of various landscape objects. Image segmentation approaches to extracting conceptual objects and patterns hence have been explored and a wide variety of such algorithms abound. To this end, in order to effectively utilize edge and topological information in high resolution remote sensing im...

Automatically processing high-resolution remote sensing images is currently of regional and global research priority. This paper presented an algorithm based on adjacency graph partition for high-resolution remote sensing image segmentation. The proposed algorithm utilized both the region geometrical and spectral properties to evaluate the weight o...