• Corpus ID: 1180870

Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps

@article{Bore2018MultipleOD,
  title={Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps},
  author={Nils Bore and Patric Jensfelt and John Folkesson},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.09292}
}
In this work, we present a method for tracking and learning the dynamics of all objects in a large scale robot environment. A mobile robot patrols the environment and visits the different locations ... 
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10 Citations
Background Citations
5
Methods Citations
1

10 Citations

Detection, Tracking and 3D Modeling of Objects with Sparse RGB-D SLAM and Interactive Perception
TLDR
An interactive perception system that enables an autonomous agent to deliberately interact with its environment and produce 3D object models using a novel segment classification scheme that allows the system to handle incorrect object hypotheses, common in cluttered environments due to touching objects or occlusion.
Change detection using weighted features for image-based localization
Towards Life-Long Autonomy of Mobile Robots Through Feature-Based Change Detection
TLDR
A novel method for change detection based on the similarity of local visual features to distinguish important stable regions of the scene from the regions that are changing that substantially improves the accuracy of the robot localization, compared to using the baseline localization method without change detection.
Semantic Mapping with Simultaneous Object Detection and Localization
TLDR
This work presents a filtering-based method for semantic mapping to simultaneously detect objects and localize their 6 degree-of-freedom pose and demonstrates that the particle filtering based inference of CT-Map provides improved object detection and pose estimation with respect to baseline methods.
SeanNet: Semantic Understanding Network for Localization Under Object Dynamics
TLDR
It is demonstrated that SeanNet outperforms all baseline methods, by robustly localizing the robot under object dynamics, thus reliably informing visual navigation about the task status, and develops a similarity-based localization method based on SeanNet for monitoring the progress of visual navigation tasks.
Artificial Intelligence for Long-Term Robot Autonomy: A Survey
TLDR
This letter surveys and discusses AI techniques as “enablers” for long-term robot autonomy, current progress in integrating these techniques within long-running robotic systems, and the future challenges and opportunities for AI in long- term autonomy.
Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review
TLDR
These essential factors of autonomous mobile robots in terms of mathematical modeling, control issues, and challenging factors are surveyed and promising directions to guide the construction of an autonomous mobile robot with high accuracy and effectiveness are provided.
Chapter 6 Intelligent Robotic Perception Systems
TLDR
This chapter will cover recent and emerging topics and use-cases related to intelligent perception systems in robotics.
Intelligent Robotic Perception Systems
TLDR
This chapter will cover recent and emerging topics and use-cases related to intelligent perception systems in robotics.
Collaborative Robots: Development of Robotic Perception System, Safety Issues, and Integration of AI to Imitate Human Behavior
TLDR
To take full advantage of this collaboration between robots and humans, the authors must understand how humans can most effectively augment robots and how robots can enhance what humans do best.

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