Results 51 to 60 of about 20,507 (185)
Low drift visual inertial odometry with UWB aided for indoor localization
Visual inertial odometry (VIO) would have an estimation drift problem in the process of long trajectory for indoor localization, especially in the absence of loop detection or in unknown complex scenes.
Bo Gao +3 more
doaj +1 more source
Featureless visual processing for SLAM in changing outdoor environments [PDF]
Vision-based SLAM is mostly a solved problem providing clear, sharp images can be obtained. However, in outdoor environments a number of factors such as rough terrain, high speeds and hardware limitations can result in these conditions not being met ...
George, Ashley, Milford, Michael
core +2 more sources
Self-Improving Visual Odometry
We propose a self-supervised learning framework that uses unlabeled monocular video sequences to generate large-scale supervision for training a Visual Odometry (VO) frontend, a network which computes pointwise data associations across images. Our self-improving method enables a VO frontend to learn over time, unlike other VO and SLAM systems which ...
Daniel DeTone +2 more
openaire +2 more sources
An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
Recently, deep learning methods and multisensory fusion have been applied to address odometry challenges in unmanned ground vehicles (UGVs). In this paper, we propose an end-to-end visual-lidar-inertial odometry framework to enhance the accuracy of pose ...
Zhiyao Xiao, Guobao Zhang
doaj +1 more source
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Progress towards advanced systems for assisted and autonomous driving is leveraging recent advances in recognition and segmentation methods. Yet, we are still facing challenges in bringing reliable driving to inner cities, as those are composed of highly
Bhattacharyya, Apratim +2 more
core +1 more source
Combined visual odometry and visual compass for off-road mobile robots localization [PDF]
In this paper, we present the work related to the application of a visual odometry approach to estimate the location of mobile robots operating in off-road conditions.
Gonzalez, Ramon +4 more
core +1 more source
Towards Visual Ego-motion Learning in Robots
Many model-based Visual Odometry (VO) algorithms have been proposed in the past decade, often restricted to the type of camera optics, or the underlying motion manifold observed.
Leonard, John J., Pillai, Sudeep
core +1 more source
Towards automated visual flexible endoscope navigation [PDF]
Background:\ud The design of flexible endoscopes has not changed significantly in the past 50 years. A trend is observed towards a wider application of flexible endoscopes with an increasing role in complex intraluminal therapeutic procedures.
Broeders, I.A.M.J. +2 more
core +3 more sources
Omnidirectional visual odometry for a planetary rover [PDF]
Position estimation for planetary rovers has been typically limited to odometry based on proprioceptive measurements such as the integration of distance traveled and measurement of heading change. Here we present and compare two methods of online visual odometry suited for planetary rovers. Both methods use omnidirectional imagery to estimate motion of
Corke, Peter +2 more
openaire +1 more source
A Light Visual Mapping and Navigation Framework for Low-Cost Robots
We address the problems of localization, mapping, and guidance for robots with limited computational resources by combining vision with the metrical information given by the robot odometry.
Bazeille Stephane +2 more
doaj +1 more source

