2026-10-14T03:00:04Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33833938 2026-09-16T08:29:30Z portal_1197 item_type_3 month_year_09_2026

Data for Cooperative object classification for driving applications Eduardo Arnold (24915820) Omar Y. Al-Jarrah (24915823) Mehrdad Dianati (8284236) Saber Fallah (10745079) David Oxtoby (24915826) Alexandros Mouzakitis (4603360) Three-dimensional modeling Pattern recognition systems Shapes -- Computer simulation Vision disorders Computer vision Migrated from ePrints 3D object classification can be realised by rendering views of the same object from different angles and aggregating all the views to build a classifier. Although this approach has been previously proposed for general objects classification, most existing works did not consider visual impairments. In contrast, this paper considers the problem of 3D object classification for driving applications under impairments (e.g. occlusion and sensor noise) by generating an application-specific dataset. We present a cooperative object classification method where multiple images of the same object seen from different perspectives (agents) are exploited to generate more accurate classification. We consider model generalisation capability and its resilience to impairments. We introduce an occlusion model with higher resemblance to real-world occlusion and use a simplified sensor noise model. The experimental results show that the cooperative model, relying on multiple views, significantly outperforms single-view methods and is effective in mitigating the effects of occlusion and sensor noise.<br><br>This dataset was used in the paper "Cooperative Object Classification for Driving Applications" published in the 2019 IEEE Intelligent Vehicles Symposium (IV). The dataset contains images of a diverse set of objects rendered from three distinct view-points and was created to illustrate the benefits of cooperative (multi-view) object classification amid occlusions and sensor noise. The open access version of this paper is available at http://wrap.warwick.ac.uk/157113/ The source code is available at https://github.com/eduardohenriquearnold/coopObjectClassification 2021-11-18T00:00:00Z Dataset Dataset 10.82444/warw.33833938.v1 https://figshare.com/articles/dataset/Data_for_Cooperative_object_classification_for_driving_applications/33833938 CC BY 4.0