This paper proposes a position accuracy improvement algorithm for a low-cost global positioning system (GPS) receiver of a car navigation system considering a distance boundary. The proposed method enhances the position accuracy by matching the trajectory of a vehicle acquired by a GPS receiver with prebuilt map information. After acquiring the trajectory of a vehicle, the iterative closest point method is employed to compute the rotational and the translational errors among the trajectory of a vehicle and map information. These computed errors are used to correct the trajectory of a vehicle. Unlike previous studies, in the proposed method, some of map information over a certain distance away from the trajectory is ignored so that the computational efficiency can be guaranteed. Finally, the superiority of our method is proved throughout real experimental results.
|Title of host publication||2016 International Conference on Robotics and Automation Engineering, ICRAE 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2016 Nov 8|
|Event||2016 International Conference on Robotics and Automation Engineering, ICRAE 2016 - Jeju-Do, Korea, Republic of|
Duration: 2016 Aug 27 → 2016 Aug 29
|Name||2016 International Conference on Robotics and Automation Engineering, ICRAE 2016|
|Other||2016 International Conference on Robotics and Automation Engineering, ICRAE 2016|
|Country||Korea, Republic of|
|Period||16/8/27 → 16/8/29|
Bibliographical noteFunding Information:
This work was supported by the D2 innovation funded by the Korean Agency for Defense Development (ADD). (No. UC150001ID).
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Mechanical Engineering
- Control and Optimization
- Control and Systems Engineering