Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Emergence of communication technologies made the automotive industries across the globe to embrace Advanced Driver Assistance Systems (ADAS) by considerable investments to ensure accident-free travel, reduction of pollution, fuel conservation. ADAS achieves its goals by integrating complex subsystems such as obstacle avoidance, overtaking advice, lane changing assistance, planning shortest routes, parking assistance, automatic gear shifting, etc., using the emerging technologies. This article emphasizes the road safety aspect of the ADAS by exploring Crash Avoidance and Overtaking Advice (CAOA) subsystems. Existing studies have a noticeable lack of connectivity between various aspects of CAOA subsystems. This review deeply explores and connects CAOA subsystems like road geometries, road debris, obstacle avoidance algorithms powered by Artificial Intelligence (AI), overtaking advice systems, perception challenges of human drivers in various light and weather conditions, driver inattention and misjudgments, vehicle blind-spots, vehicle parameter analysis, performance of vision sensors, in-vehicle computers, driver–vehicle interactions, Vehicle to Infrastructure (V2I) technologies. This article emphasizes the three primary performance metrics of the ADAS, namely accuracy, response time and robustness. Finally, this article discusses a typical functional architecture and gaps identified in existing studies. This article is structured to assist like-minded researchers, who work on CAOA systems for road safety.&nbsp; &nbsp;

Department of Automotive Engineering

School of Mechanical Engineering

Vellore Campus

Engineering Applications of Artificial Intelligence

An insight into crash avoidance and overtaking advice systems for Autonomous Vehicles: A review, challenges and solutions

In conventional agriculture, agricultural lands are located far away from residential areas. Farmers use excess of fertilizers and pesticides in their field, which produces poisonous vegetables. Also most of the people do not have their own agriculture land. Organic vegetables in the market may not be always genuine as they may be produced using chemical components. Terrace gardening is a booming technology which solves all the above said problems of conventional agriculture and produces healthy vegetables in home. A novel intelligent approach is proposed in this paper by using fuzzy rules to cultivate the vegetables in terrace. The proposed method dynamically measures the atmospheric temperature, humidity and soil moisture in the stipulated time intervals and adjusts the terrace temperature automatically. Terrace temperature is controlled with the help of smart roofs, where smart roof plats are automatically tilted with the help of motors. With the controlled terrace temperature, the proposed fuzzy rule based intelligent system irrigates the crops with exact quantity of water which conserves water, electricity, avoids excess irrigation and produces good yield. © 2017, University of Agriculture. All rights reserved.

World University root node

School of Computer Science and Engineering

Pakistan Journal of Agricultural Sciences

Smart terrace gardening with intelligent roof control algorithm for water conservation

Wireless sensor networks (WSNs) are extensively used in military applications for border area monitoring, battle-field surveillance, tracking enemy troops, where the sensor nodes run on battery power. Localisation of sensor nodes is extremely important to identify the location of event in military applications for further actions. Existing localisation algorithms consume more energy by heavy computation and communication overheads. The objective of the proposed research is to increase the lifetime of the military sensor networks by reducing the power consumption in each sensor node during localisation. For the state-of-the-art, we propose a novel intelligent unmanned aerial vehicle anchor node (IUAN) with an intelligent arc selection (IAS)-based centralised localisation algorithm, which removes computation cost and reduces communication cost at every sensor node. The IUAN collects the signal strength, distance data from sensor nodes and the central control station (CCS) computes the position of sensor nodes using IAS algorithm. Our approach significantly removes computation cost and reduces communication cost at each sensor node during localisation, thereby radically extends the lifetime and localisation coverage of the military sensor networks. © 2014, DESIDOC.

Defence Science Journal

Intelligent UAV-assisted localisation to conserve battery energy in military sensor networks

Uninterrupted power supply through electrical grid is not possible for many remote areas like dense forest, hill areas, and deserts. The objective of the proposed work is to generate stand alone electricity using steam powered gravity assisted SP system for remote WSN applications. The proposed design drives the generator by triggering gravity force using steam powered cylinders with high thermal efficiency. The proposed SP system is used to recharge the battery systems of UAVs in remote sites thereby the UAVs are further used to recharge the remote wireless sensor nodes using laser beam transmissions. © (2014) Trans Tech Publications, Switzerland.

Applied Mechanics and Materials

Novel steam powered gravity assisted standalone power system (SP-GA-SP system) design for remote wireless sensor networks

The objective of the proposed system is to remove the dependency of radio irregularity problem in localization of static nodes in wireless sensor networks. Most of the existing range free localization algorithms are mainly suffered by the radio irregularity problem. The value of the degree of irregularity always affects the accuracy of the localization performance. The idea of this work is to calculate the location of sensor nodes using co-ordinate signal strength database. In wireless sensor networks, each flying anchor node will be equipped with a GPS receiver. The flying node calculates its position, which is transmitted as a beacon message to the sensor nodes. Upon reception of the beacon messages, each static node calculates its location using the 'Sensor Position based on Co-ordinate Signal Strength Database' (SP-CSSD) algorithm. The proposed idea increases the accuracy of the localization algorithm with minimal computational overhead and computational time.