Simultaneous localization and mapping with detection and tracking of moving objects
By Chieh-Chih Bob Wang, C. Thorpe. Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2002
304 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0cf4b2aaefc3b5a7634f521cd236c4f2b8f1ea8c
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
- Siddhartha S. Srinivasa
- Sebastian Thrun
- H. F. Durrant-Whyte
- Rosen Diankov
- Alvaro Collet
- Martial Hebert
- Chieh-Chih Bob Wang
- C. Thorpe
In Computer Vision and Pattern Recognition
- Siddhartha S. Srinivasa
- Pieter Abbeel
- Sergey Levine
- Luc Van Gool
- Jitendra Malik
- Dieter Fox
- Martial Hebert
- Trevor Darrell
In Electrical and Electronic Engineering
- Sebastian Thrun
- H. F. Durrant-Whyte
- Huosheng Hu
- Nicola Bellotto
- Andrew Markham
- Niki Trigoni
- Muhamad Risqi U. Saputra
- Chieh-Chih Bob Wang
Citations in the corpus
- Simultaneous Localization, Mapping and Moving Object Tracking (2007, background): “However, we have observed (Wang and Thorpe 2002) that SLAM can perform badly in crowded urban environments because the static environment assumption may be violated moving objects have to be detected and filtered out.”
- Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground vehicle in crowded urban areas (2003, unknown): “In [20], we presented a method to solve the SLAM problem and the detection and tracking of moving objects (DATMO) problem concurrently and showed that the initial results of SLAM with DATMO are dramatically better than SLAM without DATMO in crowded urban environments.”
- Visual SLAM and Structure from Motion in Dynamic Environments (2018, methodology): “To this end, [169] and [170] employed a laser scanner to track moving objects using a Bayesian approach and created in a system called SLAMMOT (Simultaneous Localization, Mapping, and Moving Object Tracking).”
- HERB: a home exploring robotic butler (2010, background): “There has been significant work done with people tracking (Montemerlo and Thrun 2002), and Detecting and Tracking Moving Objects (DATMO) (Mendes et al. 2004; Wang and Thorpe 2002).”
- Multisensor-Based Human Detection and Tracking for Mobile Service Robots (2009, methodology): “The second procedure implemented is the motion-detection algorithm described in [3], which is similar to other variants that can be found in the literature [27], [28].”