Cargando…
Introspective False Negative Prediction for Black-Box Object Detectors in Autonomous Driving
Object detection plays a critical role in autonomous driving, but current state-of-the-art object detectors will inevitably fail in many driving scenes, which is unacceptable for safety-critical automated vehicles. Given the complexity of the real traffic scenarios, it is impractical to guarantee ze...
Autores principales: | Yang, Qinghua, Chen, Hui, Chen, Zhe, Su, Junzhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073889/ https://www.ncbi.nlm.nih.gov/pubmed/33923776 http://dx.doi.org/10.3390/s21082819 |
Ejemplares similares
-
Keypoint-Aware Single-Stage 3D Object Detector for Autonomous Driving
por: Xu, Wencai, et al.
Publicado: (2022) -
Dual-NMS: A Method for Autonomously Removing False Detection Boxes from Aerial Image Object Detection Results
por: Lin, Zhiyuan, et al.
Publicado: (2019) -
Retrospective introspection
por: Thirunavukarasu, M., et al.
Publicado: (2009) -
Introspection - JOMFP
por: Joshua, Elizabeth
Publicado: (2012) -
Time for introspection
por: Agrawal, Siddharth, et al.
Publicado: (2018)