Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A major issue in the field of mobile robotics today is the detection and tracking of moving objects (DATMO) from a moving observer. In dynamic and highly populated environments, this problem presents a complex and computationally demanding task. It can be divided in sub-problems such as robotpsilas relative motion compensation, feature extraction, measurement clustering, data association and targetspsila state vector estimation.   present an innovative approach that addresses all these issues exploiting various probabilistic and deterministic techniques. The algorithm utilizes real laser-scanner data to dynamically extract moving objects from their background environment, using a time-fading grid map method, and tracks the identified targets employing a joint probabilistic data association with interacting multiple model (JPDA-IMM) algorithm. The resulting technique presents a computationally efficient approach to already existing target-tracking research for real time application scenarios.
['Polychronis Kondaxakis', 'Stathis Kasderidis', 'Panos E. Trahanias']
I am writing a research paper on a idea A multi-target tracking technique for mobile robots using a laser range scanner
[{"from": "human", "value": "I am writing a research paper on a idea A multi-target tracking technique for mobile robots using a laser range scanner"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A major issue in the field of mobile robotics today is the detection and tracking of moving objects (DATMO) from a moving observer. In dynamic and highly populated environments, this problem presents a complex and computationally demanding task. It can be divided in sub-problems such as robotpsilas relative motion compensation, feature extraction, measurement clustering, data association and targetspsila state vector estimation.   present an innovative approach that addresses all these issues exploiting various probabilistic and deterministic techniques. The algorithm utilizes real laser-scanner data to dynamically extract moving objects from their background environment, using a time-fading grid map method, and tracks the identified targets employing a joint probabilistic data association with interacting multiple model (JPDA-IMM) algorithm. The resulting technique presents a computationally efficient approach to already existing target-tracking research for real time application scenarios."}]