| Todd M. Jochem. Using virtual active vision tools to improve autonomous driving tasks, 1993. Thesis Proposal. |
....systems have operated the vehicle in both on road and off road conditions. SAPIENT will use ALVINN [49] a neural network based road follower for information about the current lane. Pre and post processing modules enable ALVINN to perform more than simple road following. Virtual Cameras [23] creates an input image for ALVINN by rotating, translating and scaling pixels from a sub image of the current camera image. An ALVINN network can be used to detect exits or adjacent lanes by selecting appropriate sub images, and examining the confidence of the neural network. The Virtual Camera ....
Todd M. Jochem. Using virtual active vision tools to improve autonomous driving tasks, 1993. Thesis Proposal.
....that lane transition maneuvers are needed and one which is on the critical path toward deployment of a full scale AHS. In order to successfully transition from one lane to another, a simple geometric model of the road is needed. Using the information contained in the model, virtual camera views [2] can be positioned which allow existing lane keeping systems to be used for lane transition maneuvers. This paper presents three techniques which autonomously transition a vehicle between lanes. These methods are based on controlling the lateral placement of virtual camera views using a simple ....
Jochem, Todd M. "Using Virtual Active Vision Tools to Improve Autonomous Driving Tasks," CMU Technical Report CMU-RI-TR-94-39, October, 1994.
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