Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles
improving adaptive kalman estimation in gps / ins integration .
An Optimal Radial Basis Function Neural Network Enhanced Adaptive Robust Kalman Filter for GNSS/INS Integrated Systems in Complex Urban Areas
visual - inertial sensor fusion : localization , mapping and sensor - to - sensor self - calibration .
Interacting Multiple Model Filter-Based Sensor Fusion of GPS With In-Vehicle Sensors for Real-Time Vehicle Positioning
Sensor Fusion-Based Low-Cost Vehicle Localization System for Complex Urban Environments
Robust particle filter for lane-precise localization
Navigation with IMU/GPS/digital compass with unscented Kalman filter
Adaptive Extended Kalman Filter Based Geolocation Using TDOA/FDOA
Robot localization using extended kalman filter with infrared sensor
The Performance Analysis of a Real-Time Integrated INS/GPS Vehicle Navigation System with Abnormal GPS Measurement Elimination
LOCALIZATION OF A MOBILE ROBOT BASED IN ODOMETRY AND NATURAL LANDMARKS USING EXTENDED KALMAN FILTER
Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone
Sigma-Point Kalman Filters For Integrated Navigation
Improving localization accuracy of android's Fused Location Provider API using Kalman Filter
Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion: Applications to Integrated Navigation
State estimation for aggressive flight in GPS-denied environments using onboard sensing
Inertial Navigation System Aided by GPS and Selective Frequency Contents of Vector Measurements
A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications
Particle filter theory and practice with positioning applications
Particle filters for mobile robot localization
Improving Software Diagnosability via Log Enhancement
FitLoc: Fine-Grained and Low-Cost Device-Free Localization for Multiple Targets Over Various Areas
quo vadis winding technology ? a study on the state of the art and research on future trends in automotive engineering .
IMM object tracking for high dynamic driving maneuvers
Automatic emotion recognition in video