Collaborative Autonomous Vehicles with Signals of Opportunity Aided Inertial Navigation Systems
نویسندگان
چکیده
Joshua J. Morales is pursuing a Ph.D. from the Department of Electrical and Computer Engineering at the University of California, Riverside and is a member of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. He received a B.S. in Electrical Engineering with High Honors from the University of California, Riverside. His research interests include estimation, navigation, autonomous vehicles, and intelligent transportation systems.
منابع مشابه
Distributed Signals of Opportunity Aided Inertial Navigation with Intermittent Communication
A distributed signal of opportunity (SOP)-aided inertial navigation system (INS) framework is presented and studied for vehicles collaborating in an imperfect communication channel. The following scenario is considered. Multiple autonomous vehicles (AVs) are aiding their onboard INSs with global navigation satellite system (GNSS) signals. The AVs draw pseudorange observations from unknown SOPs ...
متن کاملApplications of Inertial Navigation Systems in Medical Engineering
Inertial navigation systems are of the most important and practical systems in determining the velocity, position and attitude of the vehicles and different equipment. In these systems, three accelerometers and three gyroscopes are used to measure linear accelerations and angular velocities of vehicles, respectively. By using the output of these sensors and special inertial algorithms in differ...
متن کاملAn Effective Terrain Aided Navigation for Low-Cost Autonomous Underwater Vehicles
Terrain-aided navigation is a potentially powerful solution for obtaining submerged position fixes for autonomous underwater vehicles. The application of terrain-aided navigation with high-accuracy inertial navigation systems has demonstrated meter-level navigation accuracy in sea trials. However, available sensors may be limited depending on the type of the mission. Such limitations, especiall...
متن کاملCalibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation
The designing of advanced driver assistance systems and autonomous vehicles needs measurement of dynamical variations of vehicle, such as acceleration, velocity and yaw rate. Designed adaptive controllers to control lateral and longitudinal vehicle dynamics are based on the measured variables. Inertial MEMS-based sensors have some benefits including low price and low consumption that make them ...
متن کامل