Bayesian nonparametric object association for semantic SLAM
J Zhang, L Yuan, T Ran, Q Tao… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Semantic simultaneous localization and mapping (SLAM) can provide the foundation for
robots to perform more advanced tasks than traditional geometric SLAM. Object association …
robots to perform more advanced tasks than traditional geometric SLAM. Object association …
Semantic slam with autonomous object-level data association
It is often desirable to capture and map semantic information of an environment during
simultaneous localization and mapping (SLAM). Such semantic information can enable a …
simultaneous localization and mapping (SLAM). Such semantic information can enable a …
Probabilistic data association for semantic SLAM at scale
With advances in image processing and machine learning, it is now feasible to incorporate
semantic information into the problem of simultaneous localisation and mapping (SLAM) …
semantic information into the problem of simultaneous localisation and mapping (SLAM) …
Hierarchical topic model based object association for semantic SLAM
Object-based simultaneous localization and mapping (SLAM) is a more natural and robust
way for agents to interact with their surrounding environment. However, it introduces a …
way for agents to interact with their surrounding environment. However, it introduces a …
Object clustering with Dirichlet process mixture model for data association in monocular SLAM
Semantic simultaneous localization and mapping (SLAM) with a monocular camera is
particularly attractive because of the deployment simplicity and economic availability. Data …
particularly attractive because of the deployment simplicity and economic availability. Data …
An object slam framework for association, mapping, and high-level tasks
Object SLAM is considered increasingly significant for robot high-level perception and
decision-making. Existing studies fall short in terms of data association, object …
decision-making. Existing studies fall short in terms of data association, object …
Not only look but infer: Multiple hypothesis clustering of data association inference for semantic SLAM
T Ran, L Yuan, J Zhang, L He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In semantic visual simultaneous localization and mapping (VSLAM), accurate data
association of semantic measurement from visual sensor is very crucial for robot state …
association of semantic measurement from visual sensor is very crucial for robot state …
Accurate object association and pose updating for semantic SLAM
Current pandemic has caused the medical system to operate under high load. To relieve it,
robots with high autonomy can be used to effectively execute contactless operations in …
robots with high autonomy can be used to effectively execute contactless operations in …
Multimodal semantic slam with probabilistic data association
The recent success of object detection systems motivates object-based representations for
robot navigation; ie semantic simultaneous localization and mapping (SLAM). The semantic …
robot navigation; ie semantic simultaneous localization and mapping (SLAM). The semantic …
Probabilistic data association via mixture models for robust semantic SLAM
KJ Doherty, DP Baxter, E Schneeweiss… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Modern robotic systems sense the environment geometrically, through sensors like
cameras, lidar, and sonar, as well as semantically, often through visual models learned from …
cameras, lidar, and sonar, as well as semantically, often through visual models learned from …