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Gaurav Pandey

23 papers hereh-index 172.1k citations60 works total

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

author position
  • first author3
  • middle author11
  • last author8

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • cs.CV8
  • cs.AI1
  • cs.CL1
  • cs.LG1
  • eess.SP1
same name
  • Gaurav Pandey — 16 papers, h 7
  • Gaurav Pandey — 8 papers, h 1
  • Gaurav Pandey — 4 papers, h 4
  • Gaurav Pandey — 2 papers
  • Gaurav Pandey — 2 papers, h 7
  • Gaurav Pandey — 2 papers, h 2

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
20162023
most citedLocalization Requirements for Autonomous Vehicles

272 citations · 426 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.RO2021

Localization of a Smart Infrastructure Fisheye Camera in a Prior Map for Autonomous Vehicles

Subodh Mishra, Armin Parchami, Enrique Corona +4

This work presents a technique for localization of a smart infrastructure node, consisting of a fisheye camera, in a prior map. These cameras can detect objects that are outside th…

cs.RO2021★ 3 cited

Infrastructure Node-based Vehicle Localization for Autonomous Driving

Elijah S. Lee, Ankit Vora, Armin Parchami +3

Vehicle localization is essential for autonomous vehicle (AV) navigation and Advanced Driver Assistance Systems (ADAS). Accurate vehicle localization is often achieved via expensiv…

cs.RO2021

Target-free Extrinsic Calibration of a 3D-Lidar and an IMU

Subodh Mishra, Gaurav Pandey, Srikanth Saripalli

This work presents a novel target-free extrinsic calibration algorithm for a 3D Lidar and an IMU pair using an Extended Kalman Filter (EKF) which exploits the \textit{motion based…

cs.CV2021★ 1 cited

Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles

Ashish Kumar, James R. McBride, Gaurav Pandey

We propose an end-to-end real time framework to generate high resolution graphics grade textured 3D map of urban environment. The generated detailed map finds its application in th…

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