Faculty of Informatics / Mathematics

Data Set htwddKogRob-TSDReal for Localization and Lifelong Mapping

HTW Dresden/Bahrmann

This data set presents a 4.7 km long tour within an environment which's representation is meanwhile outdated. Several static objects have been moved or removed and there are a differing amount of dynamic obstacles present.


How to use

Within the zip archives are ascii files containing logs of robot observation and robot poses. If this data set was recorded in a simulated environment, the log contains an altered raw pose as well as a ground truth pose.
You can find more information in the log files header. To offer some help parsing the files, we give two Java-code snippets:

Laser Range Measurements:
        List<Double> ranges = new ArrayList<>(numOfLaserRays);
        List<Error> errors = new ArrayList<>(numOfLaserRays);

        String s = line.substring(4);
        String delimiter = "()";
        StringTokenizer tokenizer = new StringTokenizer(s, delimiter);
            String[] arr = tokenizer.nextToken().split(";");
            boolean usable = (arr[0].equals("0")?false:true);
            double range = Double.parseDouble(arr[1]);

        String poseString = line.split(":")[2];
        String[] elements = poseString.substring(1, poseString.length()-1).split(";");
        double x = Double.parseDouble(elements[0]);
        double y = Double.parseDouble(elements[1]);
        double phi = Double.parseDouble(elements[2]);



If you want to use this dataset in your own publication, please use the provided bibtex below:

  title = {Data Set 
htwddKogRob-TSDReal for Localization and Lifelong Mapping},
  author = {Bahrmann, Frank},
  howpublished = {\url{http://www.htw-dresden.de/\~kogrob/datasets/
  year = {2015},
  publisher = {University of Applied Sciences Dresden, Artificial Intelligence and Cognitive Robotics Labs},



These datasets are made available under the Open Data Commons Attribution License: