Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Motion Planning
Tracking Multiple Moving Objects for Real-Time Robot Navigation
Autonomous Robots
FastSLAM: a factored solution to the simultaneous localization and mapping problem
Eighteenth national conference on Artificial intelligence
Toward Real-Time Human-Computer Interaction with Continuous Dynamic Hand Gestures
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FloatBoost Learning and Statistical Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Planning Algorithms
Fast and accurate SLAM with Rao-Blackwellized particle filters
Robotics and Autonomous Systems
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive navigation of multiple agents in crowded environments
Proceedings of the 2008 symposium on Interactive 3D graphics and games
DP-SLAM: fast, robust simultaneous localization and mapping without predetermined landmarks
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Hand gesture recognition using depth data
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A neuro-fuzzy controller for reactive navigation of a behaviour-based mobile robot
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
A Bayesian discriminating features method for face detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Crowded environments provide significant challenges for autonomous navigation systems. The robot must be fully aware of its surroundings and incorporate this knowledge into its decision-making and planning processes. The purpose of this paper is to outline major challenges that an autonomous navigation system needs to overcome to enable effective navigation in crowded environments such as hospital wards. We will discuss several key components of autonomous navigation systems to include localization and mapping, human-robot interaction, and dynamic object detection.