Name
Abstract | ||
|---|---|---|
Street and angle information can be obtained from vision sensor and center of lane. Lane following system can be easily implemented through the use of controller making these two estimates 0. However, this cannot be applied into intersection without lane. Therefore, this paper proposes a method of estimating GPS error through filter for enhanced performance of waypoint following Guidance methods. In a curved section, straight line detection method is not desirable. In this method, errors occur in lateral distance estimation due to model mismatch. Therefore, this paper evaluates performance of proposed GPS error estimation filter based on lane and stop line detection of curved lane models in order to enhance performance of waypoint following and applying it to autonomous vehicles in experimental regions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IVS.2015.7225719 | 2015 IEEE Intelligent Vehicles Symposium (IV) |
Keywords | Field | DocType |
GPS error estimation filter,stop line detection,angle information,street information,vision sensor,lane following system,waypoint following guidance method,straight line detection method,lateral distance estimation,model mismatch,curve lane model,autonomous vehicle | Computer vision,Line (geometry),Control theory,Computer science,Waypoint,Artificial intelligence,Vision sensor,Error analysis for the Global Positioning System | Conference |
ISSN | Citations | PageRank |
1931-0587 | 1 | 0.37 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Byunghyun Lee | 1 | 1 | 0.37 |
| Sunghyuck Im | 2 | 33 | 3.28 |
| Moonbeom Heo | 3 | 31 | 5.56 |
| Gyu-In Jee | 4 | 86 | 9.72 |