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D. Chakravarty

4 papers hereh-index 211.6k citations130 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY2
  • cs.CV1
  • cs.RO1
same name
  • D. Chakravarty — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedDeepVO: A Deep Learning approach for Monocular Visual Odometry

45 citations · 50 across the 2 of their papers we have counts for

collaborators

4 papers

cs.RO2020★ 5 cited

Design and Implementation of Path Trackers for Ackermann Drive based Vehicles

Adarsh Patnaik, Manthan Patel, Vibhakar Mohta +6

This article is an overview of the various literature on path tracking methods and their implementation in simulation and realistic operating environments.The scope of this study i…

eess.SY2018

Ground vehicle odometry using a non-intrusive inertial speed sensor

Het Shah, Siddhant Haldar, Rohit Ner +2

This paper describes the design and development of a non-intrusive inertial speed sensor that can be reliably used to replace a conventional optical or hall effect-based speedomete…

eess.SY2016

Modeling and Control of an Autonomous Three Wheeled Mobile Robot with Front Steer

Ayush Pandey, Siddharth Jha, Debashish Chakravarty

Modeling and control strategies for a design of an autonomous three wheeled mobile robot with front wheel steer is presented. Although, the three-wheel vehicle design with front wh…

cs.CV2016★ 45 cited

DeepVO: A Deep Learning approach for Monocular Visual Odometry

Vikram Mohanty, Shubh Agrawal, Shaswat Datta +3

Deep Learning based techniques have been adopted with precision to solve a lot of standard computer vision problems, some of which are image classification, object detection and se…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.