This paper presents a high accuracy stereovision system for obstacle detection and vehicle environment perception in various driving scenarios. The system detects obstacles of all types, even at high distance, outputting them as a list of cuboids having a position in 3D coordinates, size, speed and orientation. For increasing the robustness of the obstacle detection the non-planar road model is...

This paper proposes a method for reconstructing a smooth and accurate 3D surface. Recent machine vision techniques can reconstruct accurate 3D points and normals of an object. The reconstructed point cloud is used for generating its 3D surface by surface reconstruction. The more accurate the point cloud, the more correct the surface becomes. For improving the surface, how to integrate existing ...

Because of the high calculation cost and poor performance of a traditional planar map when dealing with complicated indoor geographic information, a WiFi fingerprint indoor positioning system cannot be widely employed on a smartphone platform. By making full use of the hardware sensors embedded in the smartphone, this study proposes an integrated approach to a three-dimensional (3D) indoor posi...

In traditional stereo, the main idea is to use corresponding points p and p′ to estimate the location of a 3D point P by triangulation. A key challenge here, is to solve the correspondence problem: how do we know whether a point p actually corresponds to a point p′ in another image? This problem is further accentuated by the fact that we need to handle the many 3D points that are present in the...

Abstract. Received Signal Strength (RSS) is one of the most useful information used for location estimation in Wireless LAN (WLAN). Most of the proposed WLAN positioning systems obtain RSS from either the Access Point or from the Mobile Device, but there are few researches that make use of the RSS obtained from both Access Points and Mobile Devices to perform location estimation. In this paper,...

This paper presents an indoor positioning technique based on a multi-layer feed-forward (MLFF) artificial neural networks (ANN). Most of the indoor received signal strength (RSS)-based WLAN positioning systems use the fingerprinting technique that can be divided into two phases: the offline (calibration) phase and the online (estimation) phase. In this paper, RSSs were collected for all referen...

Detection of feature points in images is an important preprocessing stage for many algorithms in Computer Vision. We address the problem of detection of feature points in video sequences of 3D scenes, which could be mainly used for obtaining scene correspondence. The main feature we use is the zero crossing of the intensity gradient argument. We analytically show that this local feature corresp...

This paper presents the implementation of novel seamless indoor/outdoor positioning service for mobile users. When users are not within GPS range, the service exploits the wifi access point infrastructure for positioning. A central server stores wifi radio maps and map images that are then sent to user terminals based on the mac addresses of nearby access points. The positioning services is ava...