- Abstract:
-
This paper addresses the question of how much a previously obtained map of a road environment should be trusted for vehicle localisation during autonomous driving by assessing the probability that roadworks are being traversed. We compare two formulations of a roadwork prior: one based on Gaussian Process (GP) classification and the other on a more conventional Hidden Markov Model (HMM) in order to model correlations between nearby parts of a vehicle trajectory. Importantly, our formulation a...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/ITSC.2012.6338696
-
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- Journal:
- 2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
- Pages:
- 927-932
- Publication date:
- 2012
- DOI:
- ISSN:
-
2153-0009
- URN:
-
uuid:1bb31003-6e6c-457b-ac9f-70559251bdd9
- Source identifiers:
-
371423
- Local pid:
- pubs:371423
- Language:
- English
- Copyright date:
- 2012
Journal article
Can Priors Be Trusted? Learning to Anticipate Roadworks
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