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20162021
most citedExperimental Comparison of Visual-Aided Odometry Methods for Rail Vehicles

54 citations · 168 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.RO2021★ 29 cited

Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping

Florian Tschopp, Cornelius von Einem, Andrei Cramariuc +5

To cope with the growing demand for transportation on the railway system, accurate, robust, and high-frequency positioning is required to enable a safe and efficient utilization of…

cs.RO2021★ 19 cited

The Autonomous Siemens Tram

Andrew W. Palmer, Albi Sema, Wolfram Martens +2

This paper presents the Autonomous Siemens Tram that was publicly demonstrated in Potsdam, Germany during the InnoTrans 2018 exhibition. The system was built on a Siemens Combino t…

cs.RO2019★ 54 cited

Experimental Comparison of Visual-Aided Odometry Methods for Rail Vehicles

Florian Tschopp, Thomas Schneider, Andrew W. Palmer +4

Today, rail vehicle localization is based on infrastructure-side Balises (beacons) together with on-board odometry to determine whether a rail segment is occupied. Such a coarse lo…

cs.RO2018★ 9 cited

Robust Odometry using Sensor Consensus Analysis

Andrew W. Palmer, Navid Nourani-Vatani

Odometry forms an important component of many manned and autonomous systems. In the rail industry in particular, having precise and robust odometry is crucial for the correct opera…

cs.RO2016★ 3 cited

Stochastic Collection and Replenishment (SCAR) Optimisation for Persistent Autonomy

Andrew W. Palmer, Andrew J. Hill, Steven J. Scheding

Robots have a finite supply of resources such as fuel, battery charge, and storage space. The aim of the Stochastic Collection and Replenishment (SCAR) scenario is to use dedicated…

cs.RO2016★ 7 cited

Stochastic Collection and Replenishment (SCAR): Objective Functions

Andrew W. Palmer, Andrew J. Hill, Steven J. Scheding

This paper introduces two objective functions for computing the expected cost in the Stochastic Collection and Replenishment (SCAR) scenario. In the SCAR scenario, multiple user ag…

cs.RO2016★ 18 cited

Methods for Stochastic Collection and Replenishment (SCAR) optimisation for persistent autonomy

Andrew W. Palmer, Andrew J. Hill, Steven J. Scheding

Consideration of resources such as fuel, battery charge, and storage space, is a crucial requirement for the successful persistent operation of autonomous systems. The Stochastic C…