Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust people detection and localization is a prerequisite for many applications where service robots interact with humans. Future robots will not be stand-alone any more but will operate in smart environments that are equipped with sensor systems for context awareness and activity recognition.  describes a probabilistic framework for the fusion of data from a laser range finder on a mobile robot and an overhead camera fixed in a domestic environment. The contribution of the framework is that it enables seamless integration with other sensors. For tracking multiple people it is possible to use a probabilistic particle filter tracker.  show that the fusion improves the results of the individual subsystems.
['Ninghang Hu', 'Gwenn Englebienne', 'Ben J. A. Kröse']
I am writing a research paper on a idea Bayesian fusion of ceiling mounted camera and laser range finder on a mobile robot for people detection and localization
[{"from": "human", "value": "I am writing a research paper on a idea Bayesian fusion of ceiling mounted camera and laser range finder on a mobile robot for people detection and localization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust people detection and localization is a prerequisite for many applications where service robots interact with humans. Future robots will not be stand-alone any more but will operate in smart environments that are equipped with sensor systems for context awareness and activity recognition.  describes a probabilistic framework for the fusion of data from a laser range finder on a mobile robot and an overhead camera fixed in a domestic environment. The contribution of the framework is that it enables seamless integration with other sensors. For tracking multiple people it is possible to use a probabilistic particle filter tracker.  show that the fusion improves the results of the individual subsystems."}]