# 3D Object Detection on V2X-Real Robustness Analysis Source: [3D Object Detection on V2X-Real Robustness Analysis]() Collection index: [llms.txt]() Data updated: 2026-03-26T23:18:14.177Z Evaluation of 3D Object Detection performance on the V2X-Real Robustness Analysis dataset, reporting class-specific Average Precision (AP) metrics for vehicle, pedestrian, and truck categories across IoU thresholds of 0.3, 0.5, and 0.7. 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) | V2X-Real Robustness Analysis | | Metric | AP@0.3 (Vehicle) | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 2 of 2 | | 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@0.3 (Vehicle)](): Higher is better; unit: SCALAR. - [AP@0.3 (Pedestrian)](): Higher is better; unit: SCALAR. - [AP@0.3 (Truck)](): Higher is better; unit: SCALAR. - [AP@0.3 (Total)](): Higher is better; unit: SCALAR. - [AP@0.5 (Vehicle)](): Higher is better; unit: SCALAR. - [AP@0.5 (Pedestrian)](): Higher is better; unit: SCALAR. - [AP@0.5 (Truck)](): Higher is better; unit: SCALAR. - [AP@0.5 (Total)](): Higher is better; unit: SCALAR. - [AP@0.7 (Vehicle)](): Higher is better; unit: SCALAR. - [AP@0.7 (Pedestrian)](): Higher is better; unit: SCALAR. - [AP@0.7 (Truck)](): Higher is better; unit: SCALAR. - [AP@0.7 (Total)](): Higher is better; unit: SCALAR. ## Recorded results | Method | AP@0.3 (Vehicle) | Result date | Report paper | | --- | --- | --- | --- | | HyDRA w AG-PGO | 0.8427 | Not recorded | 69c4bdae0636e5bf4afc76cb | | Late Fusion | 0.5244 | Not recorded | 69c4bdae0636e5bf4afc76cb | ### HyDRA w AG-PGO AP@0.3 (Vehicle): 0.8427. Result ID: 69c5bd5a47f34ce924afd6f3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise":"Gaussian Pose Noise (σ = 0.4)","Alignment":"AG-PGO"}. This record does not assert independent reproduction. ### Late Fusion AP@0.3 (Vehicle): 0.5244. Result ID: 69c5bd5a47f34ce924afd6f2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise":"Gaussian Pose Noise (σ = 0.4)"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.