Exploring artificial intelligence in the new millennium
International Journal of Computer Vision
Estimation and prediction of the vehicle's motion based on visual odometry and kalman filter
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Real time egomotion of a nonholonomic vehicle using LIDAR measurements
Journal of Field Robotics
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A method for calculating visual odometry for ground vehicles with car-like kinematic motion constraints similar to Ackerman's steering model is presented. By taking advantage of this non-holonomic driving constraint we show a simple and practical solution to the odometry calculation by clever placement of a single camera. The method has been implemented successfully on a large industrial forklift and a Toyota Prado SUV. Results from our industrial test site is presented demonstrating the applicability of this method as a replacement for wheel encoder-based odometry for these vehicles.