19,727 research outputs found
Car Traffic Sign Annunciator
Automatic detection and recognition of traffic signs is an essential part of automated driver assistance systems which contribute to the safety of the drivers, pedestrians and vehicles. This paper presents the advanced driver assistance system (ADAS) based on Raspberry pi for traffic sign detection, recognition and annunciation. Such a system presents a vital support for driver assistance in an intelligent automotive. The proposed algorithm is implemented in a real time embedded system using OpenCV library. Proposed method introduced a new method for detection and recognition of traffic signs. Firstly, Potential traffic signs regions are detected by colour segmentation method, then classified using HOG features and a linear SVM classifier to identify the traffic sign class. The proposed system shows good recognition rate under complex challenging lighting and weather conditions. Experimental results on the accuracy of the road sign detection are reported in this paper
City Data Fusion: Sensor Data Fusion in the Internet of Things
Internet of Things (IoT) has gained substantial attention recently and play a
significant role in smart city application deployments. A number of such smart
city applications depend on sensor fusion capabilities in the cloud from
diverse data sources. We introduce the concept of IoT and present in detail ten
different parameters that govern our sensor data fusion evaluation framework.
We then evaluate the current state-of-the art in sensor data fusion against our
sensor data fusion framework. Our main goal is to examine and survey different
sensor data fusion research efforts based on our evaluation framework. The
major open research issues related to sensor data fusion are also presented.Comment: Accepted to be published in International Journal of Distributed
Systems and Technologies (IJDST), 201
Data Collection and Processing Methods for the Evaluation of Vehicle Road Departure Detection Systems
Road departure detection systems (RDDSs) for avoiding/mitigating road departure crashes have been developed and included on some production vehicles in recent years. In order to support and provide a standardized and objective performance evaluation of RDDSs, this paper describes the development of the data acquisition and data post-processing systems for testing RDDSs. Seven parameters are used to describe road departure test scenarios. The overall structure and specific components of data collection system and data post-processing system for evaluating vehicle RDDSs is devised and presented. Experimental results showed sensing system and data post-processing system could capture all needed signals and display vehicle motion profile from the testing vehicle accurately. Test track testing under different scenarios demonstrates the effective operations of the proposed data collection system
Perceptually-Driven Video Coding with the Daala Video Codec
The Daala project is a royalty-free video codec that attempts to compete with
the best patent-encumbered codecs. Part of our strategy is to replace core
tools of traditional video codecs with alternative approaches, many of them
designed to take perceptual aspects into account, rather than optimizing for
simple metrics like PSNR. This paper documents some of our experiences with
these tools, which ones worked and which did not. We evaluate which tools are
easy to integrate into a more traditional codec design, and show results in the
context of the codec being developed by the Alliance for Open Media.Comment: 19 pages, Proceedings of SPIE Workshop on Applications of Digital
Image Processing (ADIP), 201
Mobile Metaverse: A Road Map from Metaverse to Metavehicles
With the rapid development of communication technologies and extended reality
(XR), the services and applications of the Metaverse are gradually entering our
lives. However, the current development of the Metaverse provides users with
services that are homogeneous with the user experience that the Internet has
brought in the past, making them more like an extension of the Internet. In
addition, as a mobile application carrier for the Metaverse, it is also worth
considering how vehicles with diverse onboard components can develop in synergy
with the Metaverse. In this article, we focus on the core of the Metaverse,
namely user experience, and provide a road map from Metaverse to Metaverse
vehicles (Metavehicles). Specifically, we first elaborate on six features of
the Metaverse from the perspective of user experience and propose a
hierarchical framework for the Metaverse based on the evolutionary logic of the
features. Under the guidance of this framework, we discuss the empowerment of
onboard components of Metavehicles on the development of the Metaverse, and
analyze the service experience that Metavehicles can bring to two types of
users, namely drivers and passengers. Finally, considering the differentiated
development levels of Metaverse and autonomous driving, we further establish a
hierarchical framework for Metavehicles from three aspects (i.e., enhance
Metaverse, enhance driving experience, and enhance entertainment experience),
providing an evolutionary path for the development of Metavehicles.Comment: 7 pages, 5 figure
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