Odometry error correction by sensor fusion for autonomous mobile robot navigation

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 3, Issue , 2001, Pages 1654-1658

  Tar in Sauer C ^a   Brugger, H ^a   Hofer, E P ^a   Tibken, B ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Emerging technologies; Intelligent computing; Mobile robots; Selflocalization; Sensor fusion; Virtual measurement systems

Indexed keywords

ALGORITHMS; COLLISION AVOIDANCE; COMPUTER OPERATING SYSTEMS; COMPUTER SIMULATION; ERROR CORRECTION; GYROSCOPES; KALMAN FILTERING; KNOWLEDGE BASED SYSTEMS; MICROCONTROLLERS; MOBILE ROBOTS; NAVIGATION SYSTEMS; TRACKING (POSITION);

AUTONOMOUS MOBILE ROBOT NAVIGATION; EMERGING TECHNOLOGIES; INTELLIGENT COMPUTING; ODOMETRY; SELF LOCALIZATION; VIRTUAL MEASUREMENT SYSTEMS;

SENSOR DATA FUSION;

EID: 0034822889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Inertial navigation systems for mobile robots
2. Combining sonar and infrared sensors for mobile robot navigation
3. Correspondence finding for indoor navigation using landmarks
4. Sensor fusion for mobile robot navigation
5. Application of kalman filtering to the calibration and alignment of inertial navigation systems
6. State estimation from incremental sensor data corrupted by track miscounts and a detection delay
7. Low level sensor fusion for autonomous mobile robot navigation
8. On combining statistical and set-theoretic estimation
9. Measurement and correction of systematic odometry errors in mobile robots