activity
20182021
most citedEstimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver's range anxiety

103 citations · 185 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 31 cited

Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

Traffic management in a city has become a major problem due to the increasing number of vehicles on roads. Intelligent Transportation System (ITS) can help the city traffic manager…

eess.SP2020★ 29 cited

Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

To overcome range anxiety problem of Electric Vehicles (EVs), an accurate real-time energy consumption estimation is necessary, which can be used to provide the EV's driver with in…

eess.SP2020★ 103 cited

Estimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver's range anxiety

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

The goal of this work is to reduce driver's range anxiety by estimating the real-time energy consumption of electric vehicles using deep convolutional neural network. The real-time…

cs.CV2018★ 22 cited

A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN

Baljit Kaur, Jhilik Bhattacharya

This paper represents a cost-effective scene perception system aimed towards visually impaired individual. We use an odroid system integrated with an USB camera and USB laser that…

cs.CV2018

A Convolutional Feature Map based Deep Network targeted towards Traffic Detection and Classification

Baljit Kaur, Jhilik Bhattacharya

This research mainly emphasizes on traffic detection thus essentially involving object detection and classification. The particular work discussed here is motivated from unsatisfac…