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This paper presents an approach of human-vehicle cooperative navigation system as an implementation of Advanced Driving Assistance Systems (ADAS). The driver-in-the-loop system contains commands by a human driver, which are verified and corrected by the interactive navigation algorithm based on Image-based Dynamic Window Approach (IDWA). Several autonomous driving components are involved including...
With the rapid development and reduced cost of digital video capturing devices, driving video recorders (DVRs) begin to gain widespread popularity. What is seen and what happens along the way can thus be recorded in videos. However, searching for a specific scene or event among such massive video collections is laborious and tedious. In this paper, we develop a speed-adaptive street view image generation...
This article describes an algorithm that provides visual odometry estimates from sequential pairs of RGBD images. The key contribution of this article on RGBD odometry is that it provides both an odometry estimate and a covariance for the odometry parameters in real-time via a representative covariance matrix. Accurate, real-time parameter covariance is essential to effectively fuse odometry measurements...
Robust and accurate navigation of underwater vehicles is an essential cornerstone for mission success. Integrative techniques, e.g., using inertial navigation or Doppler velocity logs (DVL), can show significant drift. Even absolute input, such as GNSS input or magnetometers, can either be biased by surrounding structures or very noisy. For good navigation performance in critical maneuvers close to...
In the last couple of years a novel visual simultaneous localisation and mapping (SLAM) system, based on visual features, has emerged as one of the best, if not the best, systems for estimating the 6D camera pose whilst building a 3D map of the observed scene. This method is called ORB-SLAM and one of its key ideas is to use the same visual descriptor, a binary descriptor called ORB, for all the visual...
We present a behavioral approach for autonomous robotic exploration of marine habitat with collision avoidance given little or no prior information. In our previous work, a vision-based reactive navigation paradigm with a predefined forward direction allowed an underwater robot to avoid unexpected obstacles. In this work, we have now incorporated visual perceptive invariants to guide the navigation...
Seagoing vessels have to undergo regular visual inspections in order to detect the typical defective situations affecting metallic structures, such as cracks and corrosion. These inspections are currently performed by ship surveyors manually at a great cost. To make ship inspections safer and more cost-efficient, this paper presents a Micro-Aerial Vehicle (MAV) intended for visual inspection and based...
Navigation systems usually require visual or auditory attention. Providing the user with haptic cues could potentially decrease cognitive demand in navigation. This study is investigating the use of haptic eyeglasses in navigation. We conducted an experiment comparing directional haptic cues to visual cueing in a car navigation task. Participants (N=12) drove the Lane Change Test simulator with visual...
This paper presents a novel small unmanned aerial system which can operate independently and navigate using visual sensors. The basis of the system is a 600 gram quadrotor platform with sonar, inertial sensors and a camera. All processing is performed onboard the vehicle on a lightweight and powerful computer. Vehicle navigation is provided by a two part system. A Bierman Thornton extended Kalman...
A novel approach for stabilization and navigation of swarms of Micro Aerial Vehicles (MAVs) along a predefined path through a complex environment with obstacles is introduced in this paper. The method enables to control large MAV swarms (in literature also called UAV swarms) based only on onboard sensors and without any inter-vehicle communication. The proposed method relies on visual localization...
This paper describes and extensively evaluates a visual-based system that autonomously operators for both building a map and localization tasks. The proposed system is to assist mapping services to the visually impaired/blind people in small or mid-scale environments such as inside a building or campus of school, hospital. Toward this end, the proposed approaches solely rely on visual data thanks...
Driving simulations are widely used to send navigational and warning information to help drivers navigate safely. The traditional approaches are to use visual and auditory channels which can cause sensory overloading. Haptic has major safety implication on reducing visual and auditory overloading in driving, and since seats are the largest area in touch with the driver's body, it is a sensible choice...
In this paper, we present an augmented in-vehicle navigation system for Head-Up Display (HUD). The proposed system superimposes turning directions and lane recommendations that correctly match the real world according to the variations in the driver's view. Therefore, the driver can keep his attention to specific situations and intuitively drive in the right direction. The proposed system extracts...
A fundamental problem in autonomous underwater robotics is the high latency between the capture of image data and the time at which operators are able to gain a visual understanding of the survey environment. Typical missions can generate imagery at rates orders of magnitude greater than highly compressed images can be transmitted acoustically, delaying that understanding until after the robot has...
Visual navigation is an important research field in robotics due to low cost of cameras and the good results that these systems usually achieve. This paper presents monocular and stereo vision-based detection methods. The obstacles are detected and fused through the Dempster-Shafer theory for generating a cloud of points that contains the probability of the existence of obstacles in the environment...
This paper presents a solution to the 3D Range-Only beacon localization problem using a Sum of Gaussians (SOG) filter together with an Active Localization method, which is based on the minimization of the beacon position uncertainty, in order to ensure the problem observability and a fast convergence. The method is applied to autonomously locate a subsea panel and home to it in order to establish...
In this paper, we present a novel interface for teleoperating ground vehicles. Obstacle avoidance with ground vehicles demands a high level of operator attention, typically distracting from the primary mission. The Ambient Obstacle Avoidance (AOA) was designed to allow operators to effectively perform a primary task, such as search, while still effectively avoiding obstacles. The AOA wraps around...
This paper demonstrates several improvements on implementing a fast monocular visual slam system (MonoSLAM) to navigate indoor aerial vehicle. These improvements include designing for the framework of the navigation system, redesigning of landmark patch matching method and giving new rules updating the image patch to overcome some particularly bad situation when landmarks are insufficient. We demonstrate...
Many researchers in automotive industry are developing various methods for warning the dangerous situations to the driver. In order to evaluate the visualization methods of the dangerous vehicles in the projector-based full windshield head-up display (FW-HUD) system, we develop a visualization simulator of FW-HUD. The simulator is implemented by two-types of projectors and the homography based calibration...
The motivation of this research is to show that visual based object tracking and following is reliable using a cheap GPS-denied multirotor platform such as the AR Drone 2.0. Our architecture allows the user to specify an object in the image that the robot has to follow from an approximate constant distance. At the current stage of our development, in the event of image tracking loss the system starts...
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