# Birds-Eye-View Object Detection on KITTI Car R40 (val) Source: [Birds-Eye-View Object Detection on KITTI Car R40 (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:23:05.641Z Evaluation of Birds-Eye-View Object Detection performance for the Car class using the R40 protocol on the validation split of the KITTI dataset, segmented by Easy, Moderate, and Hard difficulty levels. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Birds-Eye-View Object Detection | | Dataset (including any stated split) | KITTI Car R40 (val) | | Metric | AP (Easy) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 0 of 0 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [AP (Easy)](): Higher is better; unit: PERCENT. - [AP (Moderate)](): Higher is better; unit: PERCENT. - [AP (Hard)](): Higher is better; unit: PERCENT. ## Recorded results | Method | AP (Easy) | Result date | Report paper | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.