An overview on visual slam: From tradition to semantic
W Chen, G Shang, A Ji, C Zhou, X Wang, C Xu, Z Li… - Remote Sensing, 2022 - mdpi.com
Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
Localization and map** for robots in agriculture and forestry: A survey
Research and development of autonomous mobile robotic solutions that can perform
several active agricultural tasks (pruning, harvesting, mowing) have been growing. Robots …
several active agricultural tasks (pruning, harvesting, mowing) have been growing. Robots …
DS-SLAM: A semantic visual SLAM towards dynamic environments
Kimera: From SLAM to spatial perception with 3D dynamic scene graphs
A Rosinol, A Violette, M Abate… - … Journal of Robotics …, 2021 - journals.sagepub.com
Humans are able to form a complex mental model of the environment they move in. This
mental model captures geometric and semantic aspects of the scene, describes the …
mental model captures geometric and semantic aspects of the scene, describes the …
Towards 3D point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household
environments, in particular kitchens. The objects modeled in these maps include cupboards …
environments, in particular kitchens. The objects modeled in these maps include cupboards …
3D dynamic scene graphs: Actionable spatial perception with places, objects, and humans
Semantic information for robot navigation: A survey
There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …
human psychology, such as the processes associated with thinking. Semantic knowledge …
Conceptual spatial representations for indoor mobile robots
We present an approach for creating conceptual representations of human-made indoor
environments using mobile robots. The concepts refer to spatial and functional properties of …
environments using mobile robots. The concepts refer to spatial and functional properties of …
Robot task planning using semantic maps
Task planning for mobile robots usually relies solely on spatial information and on shallow
domain knowledge, such as labels attached to objects and places. Although spatial …
domain knowledge, such as labels attached to objects and places. Although spatial …