Projects
City Scale Monitoring of On-Street Parking Violations with StreetHAWK:
Unauthorized parking on city streets is a major contributor to traffic congestion and road accidents in developing nations. Due to the large scale and density of this problem, citywide (manual) monitoring of parking violations has not been effective with existing practices. To this end, we present StreetHAWK : an edge-centric, automated, real-time, privacy-preserving system; which leverages the rear camera of a dashboard mounted smartphone, and performs visual scene and location analytics to identify potential parking violations. We realize this system by overcoming the challenges of : (i) small object identification in various non-standard setups by extensive training on a deep learning based convolution detection model; (ii) limited violation assessment range of 15m (a constraint of the phone’s single camera unit) by augmenting it with a short-term historian and GPS for meeting the 100m measurement violation guideline; and (iii) erroneous mobile scene analysis instances by lightweight filtering techniques that piggyback on the mobility of the camera and multi-modal sensing clues.
LTE-CAS:LTE Based Criticality Aware Scheduling for UAV Assisted Emergency Response:
The aim of this project was to provide the emergency communication using UAVs during natural disasters. A novel up link scheduling scheme for users trapped during natural disasters such as flooding or cyclone is proposed. The proposed scheduling scheme considered the criticality of end users such as physical location inside building, remaining energy in the cell phone and channel conditions.
Studies on Air-to-Ground and Ground-to-Air Path Loss Modeling for UAV Based Communication in Rural, Sub-Urban and Urban Environments:
Different path loss models for both uplink and downlink channels were used to study the communication using UAVs in rural, sub-urban and urban environments. To improve the current state-of-the-art, the modeling approach considered the 3-dimensional coordinates of the victims trapped in an event of emergency. Extensive theoretical studies were performed to analyse the system behavior.
SkyHelp: Leveraging Unmanned Aerial Vehicles for Emergency Communication Support in Deep Open Pit Mines:
In this research, a novel emergency wireless communication framework using unmanned aerial vehicle (UAV) for rescue and recovery operation in deep open pit mines is proposed. To the best knowledge, this is perhaps the first ever solution proposed in this application category. The proposed framework is further evaluated using different communication parameters such as packet error rate, energy, delay and number of re-transmissions per packet. In addition to the proposed emergency framework, a basic networking architecture is also proposed for different UAV based application in mines.
DeepSense:Sensing the Radio Signal Behavior in Metal and Non-Metal Underground Mines:
The aim of this project was to deploy a test bed using low-power sensor devices to study the link behavior in underground mine galleries such as straight, near the face (mine extraction area) and in curved galleries having both line of sight (LOS) and No line of sight (NLOS) propagation environment. Measurements were performed in different operational underground mines considering several deployment strategies. In addition, measurements were also performed under the impact of mine vehicular traffic to characterize the link behavior of wireless sensor networks.
Modeling and Measurements for Wireless Communication Networks in Underground Mines:
Developed a reliable and accurate channel model for wireless communications and networking in underground mine galleries with particular reference to typical features of underground mines such as mine wall roughness and angular deviation of the ore body from mean plane. The developed model is validated with the extensive measurements performed in real time operational metal and non-metal underground mines, and has a high accuracy compared to the state-of-the-art channel model for mine environment.
