Problem description: The recognition of landmarks [1] is a crucial problem for autonomous robotics. It is necessary to prevent the accumulation of localization estimate errors based on odometric information. Many computer vision techniques were developed to extract relevant features [2] from an image and to detect stable feature sets in a video stream. In this advanced seminar the student shall review the state of the art of engineered strategies used to enhance robots ’ vision-based recognition skills and discuss the impact of recent advancements in machine learning. Task: More precisely, the student shall: Introduce the problem of landmark recognition for robotic navigation Describe general strategies used to recognize landmarks Review...
Varying types of sensors have been used for robot localisation and navigation which has attracted a ...
This thesis focuses on the various aspects of autonomous environment learning for indoor service rob...
Visual attention refers to the ability of a vision system to rapidly detect visually salient locatio...
Problem description: Computer vision aims at the development of algorithms that can match human visu...
Problem description: Autonomous robotic navigation is based on the development of simultaneous local...
The final publication is available at link.springer.comThe main difficulty to attain fully autonomou...
A new approach for landmark recognition based on the perception, reasoning, action, and expectation ...
Our work addresses the problem of learning a set of visual landmarks for mobile robot localization. ...
Abstract: This paper describes a vision-based landmark learning and recognition system for use in mo...
Abstract: This paper describes a vision-based landmark learning and recognition system for use in mo...
Abstract. Visual attention refers to the ability of a vision system to rapidly detect visually salie...
In this article we describe an algorithm for robot localization using visual landmarks. This algorit...
The use of landmarks for robot navigation is a popular alternative to having a geometrical model of ...
Abstract. The main difficulty to attain fully autonomous robot nav-igation outdoors is the fast dete...
The paper describes a prototypical system for optimal landmark acquisition and selection. Our landma...
Varying types of sensors have been used for robot localisation and navigation which has attracted a ...
This thesis focuses on the various aspects of autonomous environment learning for indoor service rob...
Visual attention refers to the ability of a vision system to rapidly detect visually salient locatio...
Problem description: Computer vision aims at the development of algorithms that can match human visu...
Problem description: Autonomous robotic navigation is based on the development of simultaneous local...
The final publication is available at link.springer.comThe main difficulty to attain fully autonomou...
A new approach for landmark recognition based on the perception, reasoning, action, and expectation ...
Our work addresses the problem of learning a set of visual landmarks for mobile robot localization. ...
Abstract: This paper describes a vision-based landmark learning and recognition system for use in mo...
Abstract: This paper describes a vision-based landmark learning and recognition system for use in mo...
Abstract. Visual attention refers to the ability of a vision system to rapidly detect visually salie...
In this article we describe an algorithm for robot localization using visual landmarks. This algorit...
The use of landmarks for robot navigation is a popular alternative to having a geometrical model of ...
Abstract. The main difficulty to attain fully autonomous robot nav-igation outdoors is the fast dete...
The paper describes a prototypical system for optimal landmark acquisition and selection. Our landma...
Varying types of sensors have been used for robot localisation and navigation which has attracted a ...
This thesis focuses on the various aspects of autonomous environment learning for indoor service rob...
Visual attention refers to the ability of a vision system to rapidly detect visually salient locatio...