Comparison of two image navigation algorithms based on micro aerial vehicle
Fengzhi Wang · Transducer and Microsystem Technologies · 2009
Flight navigation system is necessary and important device of micro aerial vehicle.In cities,buildings or in strong electromagnetic interference environment,a lot of novel ideas are studied for navigation.One of the better technologies is image navigation.According to the accuracy and real-time performance requirements for the navigation system of micro aerial vehicle,two algorithms of matching and local entropy difference are studied.In order to shorten computing time and make easy for hardware realization,some techniques,such as stratified searching technique are used.And the two algorithms are also improved properly.The experiment results show that correlation matching algorithm is more efficient.