This paper explores how autonomous driving agents drive through intersections in virtual urban environments. The knowledge about where a vehicle runs on an intersection is embedded in environment database. Control of how and when a vehicle runs through an intersection is provided by vehicle behaviors. Vehicle control for traversing an intersection is divided into cruising behavior, following be...

The designing of advanced driver assistance systems and autonomous vehicles needs measurement of dynamical variations of vehicle, such as acceleration, velocity and yaw rate. Designed adaptive controllers to control lateral and longitudinal vehicle dynamics are based on the measured variables. Inertial MEMS-based sensors have some benefits including low price and low consumption that make them ...

|This paper describes a path planning and control structure for an autonomous vehicle. The system consists of the following tasks: A route planning module generates a route leading from a starting point to a destination point using static information from a digital map. The sensor fusion module interprets sensor observations from a number of dissimilar sensors in order to detect and identify al...

This paper proposes a vision-based indoor localization method for autonomous vehicles. A single upward-facing digital camera was mounted on an autonomous vehicle and used as a vision sensor to identify artificial landmarks and any natural corner features. An interest point detector was used to find the natural features. Using an optical flow detection algorithm, information related to the direc...

Virginia Tech is currently developing a new autonomous vehicle as a research platform. This vehicle is being used to investigate techniques in autonomous landmine/UXO detection. In addition, it was entered in the 2000 Intelligent Ground Vehicle Competition. This vehicle senses its surroundings using two (non-stereo) color CCD cameras, a SICK laser range finder, and wheel encoders. The cameras g...

The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway is studied by combining the structural equation model an artificial neural network. model’s output variables are used as input network, which compensates for linear problem ensures accuracy In order to summarize influencing factors acceptance, Unified Theory Acceptance Use Technology was expanded adding t...