Revisiting trilateration for robot localization

By Federico Thomas, Lluís Ros. IEEE Transactions on robotics, 2005

372 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a9b527fc31eed0095821d14d0d810fd0dd797f16

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. José M. F. Moura

In Artificial Intelligence

1. Soummya Kar
2. Usman A. Khan
3. José M. F. Moura
4. Abdulhameed Alelaiwi
5. Abdulmotaleb El Saddik
6. Ali H. Sayed
7. Pierre Vandergheynst
8. Angelia Nedić

In Electrical and Electronic Engineering

1. Usman A. Khan
2. José M. F. Moura
3. Soummya Kar
4. Abdulhameed Alelaiwi
5. Abdulmotaleb El Saddik

Citations in the corpus

• Evaluating and Improving the Depth Accuracy of Kinect for Windows v2 (2015, background): “to improve the robot localization result by trilateration [20];”
• Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes (2008, background): “Illustrative centralized localization algorithms include: maximum likelihood estimators that are formulated when the data is known to be described by a statistical model [4], [5]; multidimensional scaling (MDS) algorithms that formulate the localization problem as a least squares problem at a centra”