The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Instantaneous ego-motion estimation using Doppler radar
Abstract
The growing use of Doppler radars in the automotive field and the constantly increasing measurement accuracy open new possibilities for estimating the motion of the ego-vehicle. The following paper presents a robust and self-contained algorithm to instantly determine the velocity and yaw rate of the ego-vehicle. The algorithm is based on the received reflections (targets) of a single measurement cycle. It analyzes the distribution of their radial velocities over the azimuth angle. The algorithm does not require any preprocessing steps such as clustering or clutter suppression. Storage of history and data association is avoided. As an additional benefit, all targets are instantly labeled as stationary or non-stationary.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
A solution to the simultaneous localization and map building (SLAM) problem
Dissanayake, M. W. M. G., Newman, P., Clark, S., Durrant-Whyte, H. F., & Csorba, M. (2001) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.938381 · Cited by 2,661
Cited by
Automotive Radar — From First Efforts to Future Systems
Waldschmidt, C., Hasch, J., & Menzel, W. (2021) · IEEE Journal of Microwaves · doi:10.1109/jmw.2020.3033616 · Cited by 580
Metadata
- Authors
- Kellner, D., Barjenbruch, M., Klappstein, J., Dickmann, J., & Dietmayer, K.
- Venue
- 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
- Publisher
- IEEE
- Published
- 2013-10
- Pages
- 869-874
- OpenAlex
- W2158662637
- Cited by
- 184
- References
- 2
- FWCI
- 2.95
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Instantaneous ego-motion estimation using Doppler radar. https://app.cochat.ai/papers/10.1109/itsc.2013.6728341
- The paper
- Kellner, D., Barjenbruch, M., Klappstein, J., Dickmann, J., & Dietmayer, K. (2013). Instantaneous ego-motion estimation using Doppler radar. 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). https://doi.org/10.1109/itsc.2013.6728341
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.