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Vehicle state estimation using vision and inertial measurements
Vishisht Gupta
,
Sean Brennan
Mechanical Engineering
Center for Neural Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
1
Scopus citations
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Dive into the research topics of 'Vehicle state estimation using vision and inertial measurements'. Together they form a unique fingerprint.
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Keyphrases
Vehicle State Estimation
100%
Horizon Line
100%
Inertial Measurement
100%
Vision Measurement
100%
Roll-pitch
66%
Pennsylvania
33%
United States
33%
Large Segment
33%
Computer Vision
33%
Vision-based
33%
Closest Match
33%
Matching Image
33%
Inertial Navigation System
33%
Inertial Sensors
33%
Vision Sensor
33%
Geographical Survey
33%
Map Database
33%
Digital Elevation Map
33%
Vehicle Camera
33%
Scene Matching
33%
Instrumented Vehicle
33%
Filter Modeling
33%
Kinematic Kalman Filter
33%
Topology Map
33%
Engineering
State Estimation
100%
Inertial Measurement
100%
Inertial Navigation System
100%
Kalman Filter
50%
Image Matching
50%
Inertial Sensor
50%
Captured Image
50%
United States
50%
Global Positioning System
50%