Real-time Vehicle Motion Estimation Using Texture Learning and Monocular Vision
نویسندگان
چکیده
High integrity localization system is an important challenge to improve safety for road vehicles. A way to meet the requirements is to fuse information from several sensors, from position and orientation sensors to motion, speed and acceleration sensors. This paper tackles the problem of vehicle motion estimation using monocular vision. A geometric model of the road is used to learn a texture patch in the current image, this patch is then tracked through the successive frames to estimate in real time the motion of the vehicle. The proposed method was assessed using a centimeter accuracy Real Time Kinematic GPS receiver.
منابع مشابه
Perception-aware Receding Horizon Navigation for MAVs
To reach a given destination safely and accurately, a micro aerial vehicle needs to be able to avoid obstacles and minimize its state estimation uncertainty at the same time. To achieve this goal, we propose a perception-aware receding horizon approach. In our method, a single forwardlooking camera is used for state estimation and mapping. Using the information from the monocular state estimati...
متن کاملThree Dimensional Computer Vision for Micro Air Vehicles
Results are described of an ongoing project whose goal is to provide advanced Computer Vision for small low flying autonomous aircraft. The work consists of two parts; range-based vision for object recognition and pose estimation, and monocular vision for navigation and collision avoidance. A wide variety of range imaging methods were considered for the former, and it was found that a promising...
متن کاملOne-Point-plus for 5-DOF Localization of Vehicle-Mounted Omnidirectional Camera in Long-Range Motion
This paper proposes a method for localization of vehicle using one point plus an edge matching region of monocular vision in wide urban environments. The five degree of freedom (5-DoF) localization estimated by monocular omnidirectional camera improves the planar motion assumption in most of conventional researches. In recent year, the car-like motion model with planar motion is often investiga...
متن کاملEstimating the motion of an underwater robot from a monocular image sequence
When underwater vehicles perform navigation close to the ocean floor, computer vision techniques can be applied to obtain quite accurate motion estimates. The most crucial step in the vision-based estimation of the vehicle motion consists on detecting matchings between image pairs. Here we propose the extensive use of texture analysis as a tool to ameliorate the correspondence problem in underw...
متن کاملA Machine Learning Approach to Recovery of Scene Geometry from Images
Recovering the 3D structure of the scene from images yields useful information for tasks such as shape and scene recognition, object detection, or motion planning and object grasping in robotics. In this thesis, we introduce a general machine learning approach called unsupervised CRF learning based on maximizing the conditional likelihood. We describe the application of our machine learning app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006