activity
20172021
most citedInfrastructure Node-based Vehicle Localization for Autonomous Driving

3 citations · 5 across the 4 of their papers we have counts for

collaborators

14 papers

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.RO20213 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.CV20211 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…

cs.RO2020

Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration

Subodh Mishra, Philip R. Osteen, Gaurav Pandey +1

In this paper we perform an experimental comparison of three different target based 3D-LIDAR camera calibration algorithms. We briefly elucidate the mathematical background behind…

cs.RO2020

Aerial Imagery based LIDAR Localization for Autonomous Vehicles

Ankit Vora, Siddharth Agarwal, Gaurav Pandey +1

This paper presents a localization technique using aerial imagery maps and LIDAR based ground reflectivity for autonomous vehicles in urban environments. Traditional localization t…