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Surround-view fisheye camera perception for automated driving: Overview, survey & challenges
Surround-view fisheye cameras are commonly used for near-field sensing in automated
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
Vision-based mobile indoor assistive navigation aid for blind people
This paper presents a new holistic vision-based mobile assistive navigation system to help
blind and visually impaired people with indoor independent travel. The system detects …
blind and visually impaired people with indoor independent travel. The system detects …
Simfir: A simple framework for fisheye image rectification with self-supervised representation learning
In fisheye images, rich distinct distortion patterns are regularly distributed in the image
plane. These distortion patterns are independent of the visual content and provide …
plane. These distortion patterns are independent of the visual content and provide …
Vision-based navigation of unmanned aerial vehicles
J Courbon, Y Mezouar, N Guénard… - Control engineering …, 2010 - Elsevier
This paper presents a vision-based navigation strategy for a vertical take-off and landing
(VTOL) unmanned aerial vehicle (UAV) using a single embedded camera observing natural …
(VTOL) unmanned aerial vehicle (UAV) using a single embedded camera observing natural …
ISANA: wearable context-aware indoor assistive navigation with obstacle avoidance for the blind
This paper presents a novel mobile wearable context-aware indoor maps and navigation
system with obstacle avoidance for the blind. The system includes an indoor map editor and …
system with obstacle avoidance for the blind. The system includes an indoor map editor and …
All-around depth from small motion with a spherical panoramic camera
With the growing use of head-mounted displays for virtual reality (VR), generating 3D
contents for these devices becomes an important topic in computer vision. For capturing full …
contents for these devices becomes an important topic in computer vision. For capturing full …
Normal estimation for point clouds: A comparison study for a Voronoi based method
Many applications that process a point cloud data benefit from a reliable normal estimation
step. Given a point cloud presumably sampled from an unknown surface, the problem is to …
step. Given a point cloud presumably sampled from an unknown surface, the problem is to …
Calibration of omnidirectional cameras in practice: A comparison of methods
Omnidirectional cameras are becoming increasingly popular in computer vision and
robotics. Camera calibration is a step before performing any task involving metric scene …
robotics. Camera calibration is a step before performing any task involving metric scene …
An enhanced unified camera model
B Khomutenko, G Garcia… - IEEE Robotics and …, 2015 - ieeexplore.ieee.org
This paper describes a novel projection model based on the so-called unified projection
model. The new model applies to catadioptric systems and wide-angle fish-eye cameras, it …
model. The new model applies to catadioptric systems and wide-angle fish-eye cameras, it …
Super-sensor for 360-degree environment perception: Point cloud segmentation using image features
This paper describes a super-sensor that enables 360-degree environment perception for
automated vehicles in urban traffic scenarios. We use four fisheye cameras, four 360-degree …
automated vehicles in urban traffic scenarios. We use four fisheye cameras, four 360-degree …