This is a thesis on outdoor monocular visual SLAM in natural environments. The techniques proposed herein aim at estimating camera pose and 3D geometrical structure of the surrounding environment. This problem statement was motivated by the GPS-denied scenario for a sea-surface vehicle developed at Plymouth University named Springer. The algorithms proposed in this thesis are mainly adapted for the Springer’s environmental conditions, so that the vehicle can navigate on a vision based localization system when GPS is not available; such environments include estuarine areas, forests and the occasional semi-urban territories. The research objectives are constrained versions of the ever-abiding problems in the fields of multiple view geometr...
Image-based estimation of camera motion, known as visual odometry (VO), plays a very important ...
<p>Here we present an approach to estimate the global pose of a vehicle in the face of two distinct ...
Autonomously operating vehicles are being developed to take over human supervision in applications s...
Camera systems play a key role in mobile robotics because of their reliability in varied environment...
Under the rapid development of electronics and computer science in the last years, cameras have beco...
In this dissertation, we focus on developing simultaneous localization and mapping (SLAM) algorithms...
Vision is the primary means by which we know where we are, what is nearby, and how we are moving. Th...
International audienceWith the increased use of cameras in robotic applications, this paper presents...
This thesis addresses the problem of incremental localization from visual information, a scenario co...
This thesis describes our efforts to tackle the 3D localization problem for unmanned vehicles using ...
Estimating the motion of an agent, such as a self-driving vehicle or mobile robot, is an essential r...
In the fields of VR, AR, and autonomous driving, it is critical to track the accurate location of an...
Precise pose information is a fundamental prerequisite for numerous applications in robotics, AI and...
One of the key problems in computer vision and robotics is pose estimation as it is essential toward...
This paper presents a new method to estimate the range and bearing of landmarks and solve the simult...
Image-based estimation of camera motion, known as visual odometry (VO), plays a very important ...
<p>Here we present an approach to estimate the global pose of a vehicle in the face of two distinct ...
Autonomously operating vehicles are being developed to take over human supervision in applications s...
Camera systems play a key role in mobile robotics because of their reliability in varied environment...
Under the rapid development of electronics and computer science in the last years, cameras have beco...
In this dissertation, we focus on developing simultaneous localization and mapping (SLAM) algorithms...
Vision is the primary means by which we know where we are, what is nearby, and how we are moving. Th...
International audienceWith the increased use of cameras in robotic applications, this paper presents...
This thesis addresses the problem of incremental localization from visual information, a scenario co...
This thesis describes our efforts to tackle the 3D localization problem for unmanned vehicles using ...
Estimating the motion of an agent, such as a self-driving vehicle or mobile robot, is an essential r...
In the fields of VR, AR, and autonomous driving, it is critical to track the accurate location of an...
Precise pose information is a fundamental prerequisite for numerous applications in robotics, AI and...
One of the key problems in computer vision and robotics is pose estimation as it is essential toward...
This paper presents a new method to estimate the range and bearing of landmarks and solve the simult...
Image-based estimation of camera motion, known as visual odometry (VO), plays a very important ...
<p>Here we present an approach to estimate the global pose of a vehicle in the face of two distinct ...
Autonomously operating vehicles are being developed to take over human supervision in applications s...