Nearness diagram (ND) navigation: collision avoidance in troublesome scenarios

By Javier Minguez, L. Montano. IEEE Transactions on Robotics and Automation, 2004

520 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Automotive Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/f5b98653ee3edc3712fbfe9ffe59674dd5a5f988

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. Andrea Kübler
2. Javier Mauricio Antelis
3. Iñaki Iturrate
4. Alexey S. Matveev
5. Javier Minguez
6. Michael Hoy
7. Andrey V. Savkin

In Automotive Engineering

1. Andrea Kübler
2. Javier Mauricio Antelis
3. Iñaki Iturrate
4. Javier Minguez

In Computer Vision and Pattern Recognition

1. Andrea Kübler
2. Javier Mauricio Antelis
3. Iñaki Iturrate
4. Alexey S. Matveev
5. Javier Minguez
6. Michael Hoy
7. Andrey V. Savkin

Citations in the corpus

• Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey (2014, background): “278 The Nearness Diagram is an improved version that employs a number of behaviors for a number of different situations, providing good performance even in particularly cluttered environments (see, e.g., [190, 191]).”
• A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation (2009, methodology): “The final motion of the vehicle was computed using the nearness diagram (ND) technique [33], which uses a “divide and conquer” strategy, based on situations and actions to simplify the collision avoidance problem.”