Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mobile robot platforms and sensor mountings are susceptible to accidental contact with undetected objects and to degradation of sensor alignment after extended periods of mechanical operation. For correct sensor data interpretation and to accomplish sensor fusion, this has to be taken into account. Most sensor calibration techniques are computationally expensive or cannot be performed unattended, and therefore are not ll suited for autonomous robots. Hover, by employing additional knowledge about the robot's construction (and sources of error), sufficient accuracy can be maintained by using a simpler adjustment procedure.  contributes an enhanced version of the preprocessing algorithm presented by Iocchi (1999) for automated computation of camera radial distortion with fer demands on the image, as ll as a method for self-controlled sensor adjustment by improving the matching of such preprocessed multisensor data.
['Johannes V. Bitterling', 'BPbel M. C. Mertsching']
I am writing a research paper on a idea Self-controlled sensor-/platform-adjustment for a mobile robot
[{"from": "human", "value": "I am writing a research paper on a idea Self-controlled sensor-/platform-adjustment for a mobile robot"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mobile robot platforms and sensor mountings are susceptible to accidental contact with undetected objects and to degradation of sensor alignment after extended periods of mechanical operation. For correct sensor data interpretation and to accomplish sensor fusion, this has to be taken into account. Most sensor calibration techniques are computationally expensive or cannot be performed unattended, and therefore are not ll suited for autonomous robots. Hover, by employing additional knowledge about the robot's construction (and sources of error), sufficient accuracy can be maintained by using a simpler adjustment procedure.  contributes an enhanced version of the preprocessing algorithm presented by Iocchi (1999) for automated computation of camera radial distortion with fer demands on the image, as ll as a method for self-controlled sensor adjustment by improving the matching of such preprocessed multisensor data."}]