# 3D Object Detection on KITTI tracking Easy (val) Source: [3D Object Detection on KITTI tracking Easy (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:23:04.095Z Evaluation of 3D Object Detection performance specifically on the 'Easy' difficulty subset of the KITTI tracking validation set, reporting class-wise Average Precision (AP) for Car, Pedestrian, and Cyclist categories. 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 | 3D Object Detection | | Dataset (including any stated split) | KITTI tracking Easy (val) | | Metric | AP (Car) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | 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 (Car)](): Higher is better; unit: PERCENT. - [AP (Pedestrian)](): Higher is better; unit: PERCENT. - [AP (Cyclist)](): Higher is better; unit: PERCENT. - [mAP](): Higher is better; unit: PERCENT. ## Recorded results | Method | AP (Car) | Result date | Report paper | | --- | --- | --- | --- | | 3D-FCT | 89.56 | Not recorded | 68fa6aee1e209131cea2b245 | | PV-RCNN + T loss | 86.11 | Not recorded | 68fa6aee1e209131cea2b245 | | SECOND | 85.33 | Not recorded | 68fa6aee1e209131cea2b245 | | PV-RCNN | 84.54 | Not recorded | 68fa6aee1e209131cea2b245 | | PointRCNN | 83.75 | Not recorded | 68fa6aee1e209131cea2b245 | | PointPillar | 75.28 | Not recorded | 68fa6aee1e209131cea2b245 | ### 3D-FCT AP (Car): 89.56. Result ID: 698e4235ffc3901de09c17ef. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"backbone":"PV-RCNN"}. This record does not assert independent reproduction. ### PV-RCNN + T loss AP (Car): 86.11. Result ID: 698e4235ffc3901de09c17ee. [Reporting paper]() Recorded evaluation configuration: {"tracking loss":"true"}. This record does not assert independent reproduction. ### SECOND AP (Car): 85.33. Result ID: 698e4235ffc3901de09c17eb. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PV-RCNN AP (Car): 84.54. Result ID: 698e4235ffc3901de09c17ed. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PointRCNN AP (Car): 83.75. Result ID: 698e4235ffc3901de09c17ec. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PointPillar AP (Car): 75.28. Result ID: 698e4235ffc3901de09c17ea. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.