Current smartphone-based navigation applications fail to provide lane-level information due to poor GPS accuracy. Detecting and tracking a vehicle’s lane position on the road assists in lane-level navigation. For instance, it would be important to know whether a vehicle is in the correct lane for safely making a turn, or whether the vehicle’s speed is compliant with a lane-specific speed limit. Recent efforts have used road network information and inertial sensors to estimate lane position. While inertial sensors can detect lane shifts over short windows, it would suffer from error accumulation over time. In this article, we present DeepLane, a system that leverages the back camera of a windshield-mounted smartphone to provide an accurate estimate of the vehicle’s current lane. We employ a deep learning--based technique to classify the vehicle’s lane position. DeepLane does not depend on any infrastructure support such as lane markings and works even when there are no lane markings, a characteristic of many roads in developing regions. We perform extensive evaluation of DeepLane on real-world datasets collected in developed and developing regions. DeepLane can detect a vehicle’s lane position with an accuracy of over 90%, and we have implemented DeepLane as an Android app.
Today, Infonnation and Communication Technol ogy (lCT) is ubiquitous. It has touched almost all spheres concerning human suIVival, growth and development. Agriculture is no exception to it. This paper presents the research initiatives towards improving irrigation efficiency through affordable ICT solutions. It presents experimental results of studies related to improving irrigation efficiency in Semi arid zones in India, using commercially available ICT solutions. It compares between simple microirrigation and microirrigation with ICT (irrigation on demand) and establishes that by using ICT in agriculture, we can increase the irrigation efficiencies by a considerable amount. The paper also presents the development of indigenous wireless sensor node and gateway made from open source hardware and software components. The efforts in this regard show, while maintaining comparable perfonnance, a significant reduction in the cost of wireless sensor devices, when compared to commercially available wireless sensor devices, is achieved.
Malpositioned teeth are responsible for esthetic and occlusal aberrations in many adults. Patient often skips orthodontic treatment because of longer treatment time. Increased orthodontic force does not increase root movement, because the periodontal tissue cannot overcome the resistance of alveolar bone without any damage to periodontal ligament. 'When are you taking off my braces?' This is probably the question most often addressed to orthodontists. The search for this efficiency, to shorten treatment time without forgoing optimal results is corticotomy. The process of bone metabolism takes time due to which the orthodontic treatment is prolonged. The purpose of corticotomy is to increase the rate of retraction by generation of local osteopenia in bone, which reduces the bone resistance to the tooth movement, thereby reducing the treatment time. My article describes the case reports of two patients that were treated with corticotomy.
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