Abstract: This paper presents a new holistic vision-based mobile assistive navigation system to help blind and visually impaired people with indoor independent travel. The system detects dynamic obstacles and adjusts path planning in real-time to improve navigation safety.
Abstract: In this paper, we exploit the concrete surface flaw inspection through the fusion of visual positioning and semantic segmentation approach. The fused inspection result is represented by a 3D metric map with a spatial area, width, and depth information, which shows the advantage over general inspection in image space without metric info.
Abstract: We present a novel collaborative mapping and autonomous parking system for semi-structured multi-story parking garages, based on cooperative 3-D LiDAR point cloud registration and Bayesian probabilistic updating. First, an inertial-enhanced (IE) generalized iterative closest point (G-ICP) approach is presented to perform high accuracy registration for LiDAR odometry, which is loosely coupled with inertial measurement unit using multi-state extended Kalman filter fusion.
Abstract: Concrete spalling and crack inspection is a labor intensive and routine task. However, it plays an important role in structure health monitoring (SHM) of civil infrastructures. Autonomous inspection with robots has been regarded as one of the best ways to reduce both error and cost.
Abstract: This paper presents an innovative wearable system to assist visually impaired people navigate indoors in real time. Our proposed system incorporates state-of-the-art handheld devices from Google’s Project Tango and integrates path planner and obstacle avoidance submodules, as well as human-computer interaction techniques, to provide assistance to the user.
Abstract: Scene text in indoor environments usually preserves and communicates important contextual information which can significantly enhance the independent travel of blind and visually impaired people. In this paper, we present an assistive text spotting navigation system based on an RGB-D mobile device for blind or severely visually impaired people.
Abstract: This paper presents a novel mobile wearable context-aware indoor maps and navigation system with obstacle avoidance for the blind. The system includes an indoor map editor and an App on Tango devices with multiple modules.
Abstract: This paper presents a 3D perceptual system based on 2D laser radar LMS291. The proposed system utilizes intelligent module to add a degree of freedom to LMS291. A new method of synchronization between LMS291 and intelligent module was proposed.
Abstract: For 3D reconstruction technology based on laser ranging for mobile robot, this paper presents the design of real-time embedded system for 3D data processing. Firstly, this paper introduces the home and abroad research situation of laser ranging for mobile robot, and analysis the method of 3D data acquisition with 2D laser scanner and ID driving motor module.