no code implementations • 3 Nov 2021 • Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak
In recent years, a number of different methods for traffic prediction have been proposed which have proved their effectiveness in terms of accuracy.
no code implementations • 29 Sep 2021 • Jhilik Bhattacharya, Gianni Ramponi, Leonardo Gregorat, Shatrughan Modi
The paper presents an image enhancement model, L2BGAN, to translate low light images to bright images without a paired supervision.
no code implementations • 31 Aug 2020 • 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 information about the remaining range in real-time.
no code implementations • 24 Aug 2020 • 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.
no code implementations • 22 May 2018 • Baljit Kaur, Jhilik Bhattacharya
This research mainly emphasizes on traffic detection thus essentially involving object detection and classification.
no code implementations • 22 May 2018 • Baljit Kaur, Jhilik Bhattacharya
This paper represents a cost-effective scene perception system aimed towards visually impaired individual.