Bicyclist Recognition and Orientation Estimation from On-board Vision System
نویسندگان
چکیده
منابع مشابه
Efficient On-Board Stereo Vision Pose Estimation
This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the 3D road points. Fast RANSAC fitting is obtained b...
متن کاملStereo Vision Camera Pose Estimation for On-Board Applications
Traffic accidents have become an important cause of fatality in modern countries. For instance, in 2002, motor vehicle accidents represented the half of non-natural death in the United States (National Center of Health Statistics, 2002); while in 2003 there were reported almost 150,000 injured and 7,000 killed in pedestrian accidents only in the European Union (United Nations Economic Commissio...
متن کاملTerrain-based vehicle orientation estimation combining vision and inertial measurements
A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors is presented that is based on matching images captured from an on-vehicle camera to a rendered representation of the surrounding terrain obtained from a 3 dimensional (3D) terrain map. United States Geographical Survey Digital Elevation Maps (DEMs) were used to create a 3D topology map of the geo...
متن کاملOccupancy Grid Mapping in Urban Environments from a Moving On-Board Stereo-Vision System
Occupancy grid map is a popular tool for representing the surrounding environments of mobile robots/intelligent vehicles. Its applications can be dated back to the 1980s, when researchers utilized sonar or LiDAR to illustrate environments by occupancy grids. However, in the literature, research on vision-based occupancy grid mapping is scant. Furthermore, when moving in a real dynamic world, tr...
متن کاملAttention Driven Face Recognition, Learning from Human Vision System
This paper proposes a novel face recognition algorithm inspired by Human Visual System (HVS). Firstly, we learn where people look by recording observers’ eye movements when they are viewing face images. We find that the observers are consistent in the regions fixated and such fixated regions are selected as the salient regions. Secondly, we represent the face images by four scales of Local Bina...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Automotive Engineering
سال: 2015
ISSN: 2185-0984,2185-0992
DOI: 10.20485/jsaeijae.6.2_67