Autonomous Vehicles (AV) can navigate itself from point `A' to point `B' without
the aid of humans. Research on autonomous vehicles were primarily focused on the
localization, navigation and path planning schemes. This led to numerous methods
in each of the elds of focus. This research focuses on creating a scheme for the
autonomous vehicle to navigate using minimal sensors and get maximum data/infor-
mation from the map. At rst a digital map contains various structures and each has
an associated database. This database contains the details of the environment. At
present these data are manipulated for use by humans and for this map to be used
with autonomous vehicle require more sensors. This work designs maps for use with
autonomous vehicle and navigates using di erential GPS (dGPS) of high accuracy
for localization. Then the vehicle gets path and directions from digital map and nav-
igates using multiple waypoints that are provided by the path. Finally, the scheme is
tested and demonstrated through simulation and test results.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/15466 |
| Date | 27 August 2012 |
| Creators | Ramakrishnan, Balasubramaniam |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
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