Abstract
Performance evaluation is considered as an important part of the unmanned ground vehicle (UGV) development; it helps to discover research problems and improves driving safety. In this paper, a task-specific performance evaluation model of UGVs applied in the Intelligent Vehicle Future Challenge (IVFC) annual competitions is discussed. It is defined in functional levels with a formal evaluation process, including metrics analysis, metrics preprocessing, weights calculation, and a technique for order of preference by similarity to ideal solution and fuzzy comprehensive evaluation methods. IVFC 2012 is selected as a case study and overall performances of five UGVs are evaluated with specific analyzed autonomous driving tasks of environment perception, structural on-road driving, unstructured zone driving, and dynamic path planning. The model is proved to be helpful in IVFC serial competition UGVs performance evaluation.
| Original language | English |
|---|---|
| Article number | 6910343 |
| Pages (from-to) | 1969-1979 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| Volume | 15 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 Oct 2014 |
Keywords
- Autonomy levels
- Unmanned ground vehicle (UGV)
- comprehensive evaluation methods
- driving tasks analysis
- performance evaluation
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