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Sanjiv Singh

Researcher at Carnegie Mellon University

Publications -  247
Citations -  17949

Sanjiv Singh is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Mobile robot & Motion planning. The author has an hindex of 62, co-authored 245 publications receiving 15545 citations. Previous affiliations of Sanjiv Singh include Caterpillar Inc. & University of California, San Francisco.

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Proceedings ArticleDOI

LOAM: Lidar Odometry and Mapping in Real-time

TL;DR: The method achieves both low-drift and low-computational complexity without the need for high accuracy ranging or inertial measurements and can achieve accuracy at the level of state of the art offline batch methods.
Proceedings ArticleDOI

Visual-lidar odometry and mapping: low-drift, robust, and fast

TL;DR: This work presents a general framework for combining visual odometry and lidar odometry in a fundamental and first principle method and shows improvements in performance over the state of the art, particularly in robustness to aggressive motion and temporary lack of visual features.
Journal ArticleDOI

Low-drift and real-time lidar odometry and mapping

TL;DR: The results indicate that the proposed method for low-drift odometry and mapping using range measurements from a 3D laser scanner moving in 6-DOF can achieve accuracy comparable to the state of the art offline, batch methods.