Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments

This repository contains the raw code accompanying the paper "Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments", published in the Proceedings of the Conference on Robot Learning (CoRL) 2024, hosted by PMLR.

The experiments in the paper utilize large-scale public datasets that are curated by third-party organizations and are not part of the authors’ original contribution. As such, the datasets are not included in this repository. Please refer to the paper for detailed information on the datasets and their sources.

For a structured and documented version of the codebase, please visit the Git repository: https://gitlab.com/achref.d/krps.

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4585
Related Identifier IsSupplementTo https://proceedings.mlr.press/v270/doula25a.html
Related Identifier IsPartOf https://gitlab.com/achref.d/krps
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/4585
Provenance
Creator Doula, Achref; Güdelhöfer, Tobias; Mühlhäuser, Max; Sanchez Guinea, Alejandro
Publisher TU Darmstadt
Contributor TU Darmstadt
Publication Year 2024
Rights Creative Commons Attribution 4.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Software
Format application/zip
Discipline Other