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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kichun Jo Junsoo Kim Myoungho Sunwoo |
| Copyright Year | 2000 |
| Abstract | This paper proposes a road-slope estimation algorithm to improve the performance and efficiency of intelligent vehicles. The algorithm integrates three types of road-slope measurements from a GPS receiver, automotive onboard sensors, and a longitudinal vehicle model. The measurement integration is achieved through a probabilistic data association filter (PDAF) that combines multiple measurements into a single measurement update by assigning statistical probability to each measurement and by removing faulty measurement via the false-alarm function of the PDAF. In addition to the PDAF, an interacting multiple-model filter (IMMF) approach is applied to the slope estimation algorithm to allow adaptation to various slope conditions. The model set of the IMMF is composed of a constant-slope road model (CSRM) and a constant-rate slope road model (CRSRM). The CSRM assumes that the slope of the road is always constant, and the CRSRM assumes that the slope of the road changes at a constant rate. The IMMF adapts the road-slope model to the driving conditions. The developed algorithm is verified and evaluated through experimental and case studies using a real-time embedded system. The results show that the performance and efficiency of the road-slope estimation algorithm is accurate and reliable enough for intelligent vehicle applications. |
| Sponsorship | IEEE Intelligent Transportation Systems Society |
| Starting Page | 1718 |
| Ending Page | 1732 |
| Page Count | 15 |
| File Size | 3646435 |
| File Format | |
| ISSN | 15249050 |
| Volume Number | 14 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Global Positioning System Sensor fusion Filters Sensors Algorithm design and analysis sensor fusion Interacting multiple-model probabilistic data association (IMMPDA) filter multiple road models road-slope estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Automotive Engineering Mechanical Engineering Computer Science Applications |
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