Imagen de Portada

Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Schröder, Cornelius, Schlüter, Marius-Raphael, Lienkamp, Markus
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving
por: Lübberstedt, Jannik, et al.
Publicado: (2025)

HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
por: Rivera, Esteban, et al.
Publicado: (2025)

VESPA: Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving
por: Tempfli, Levente, et al.
Publicado: (2025)

Class-Distribution Guided Active Learning for 3D Occupancy Prediction in Autonomous Driving
por: Kim, Wonjune, et al.
Publicado: (2026)

Inconsistency-based Active Learning for LiDAR Object Detection
por: Rivera, Esteban, et al.
Publicado: (2025)

3D Object Visibility Prediction in Autonomous Driving
por: Luo, Chuanyu, et al.
Publicado: (2024)

CaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups
por: Tahiraj, Ilir, et al.
Publicado: (2025)

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software
por: Stratil, Loïc, et al.
Publicado: (2025)

Real-Time Incremental Explanations for Object Detectors in Autonomous Driving
por: Calderón-Peña, Santiago, et al.
Publicado: (2024)

3D Object Detection for Autonomous Driving: A Survey
por: Qian, Rui, et al.
Publicado: (2021)

Calibrating Probabilistic Object Detectors with Annotator Disagreement
por: Tan, Zhi Qin, et al.
Publicado: (2026)

On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
por: Kuzucu, Selim, et al.
Publicado: (2024)

Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving
por: Zhang, Hangtao, et al.
Publicado: (2024)

Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments
por: Uhlemann, Nico, et al.
Publicado: (2024)

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
por: Fent, Felix, et al.
Publicado: (2023)

DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving
por: Lin, Hongbin, et al.
Publicado: (2025)

Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
por: Li, Ruibo, et al.
Publicado: (2025)

USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving
por: Liao, Brian Hsuan-Cheng, et al.
Publicado: (2022)

Neural Rendering for Sensor Adaptation in 3D Object Detection
por: Embacher, Felix, et al.
Publicado: (2025)

3D Object Detection from Images for Autonomous Driving: A Survey
por: Ma, Xinzhu, et al.
Publicado: (2022)

FlowCalib: LiDAR-to-Vehicle Miscalibration Detection using Scene Flows
por: Tahiraj, Ilir, et al.
Publicado: (2026)

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
por: Xia, Zhongyu, et al.
Publicado: (2024)

3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving
por: Van Ma, Linh, et al.
Publicado: (2024)

Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
por: Lin, Jinpeng, et al.
Publicado: (2022)

MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
por: Wang, Xiyang, et al.
Publicado: (2024)

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
por: Song, Ziying, et al.
Publicado: (2024)

Maps for Autonomous Driving: Full-process Survey and Frontiers
por: Chen, Pengxin, et al.
Publicado: (2025)

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving
por: Ji, Mingqian, et al.
Publicado: (2025)

DenseBEV: Transforming BEV Grid Cells into 3D Objects
por: Dähling, Marius, et al.
Publicado: (2025)

ZFusion: An Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving
por: Yang, Sheng, et al.
Publicado: (2025)

Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving
por: Setyawan, Novendra, et al.
Publicado: (2025)

Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras
por: Liu, Ziyan, et al.
Publicado: (2025)

Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving
por: Wang, Yunshen, et al.
Publicado: (2025)

Leveraging Multi-Rater Annotations to Calibrate Object Detectors in Microscopy Imaging
por: Campi, Francesco, et al.
Publicado: (2026)

Scenario Understanding of Traffic Scenes Through Large Visual Language Models
por: Rivera, Esteban, et al.
Publicado: (2025)

DriveVGGT: Calibration-Constrained Visual Geometry Transformers for Multi-Camera Autonomous Driving
por: Jia, Xiaosong, et al.
Publicado: (2025)

Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving
por: Chen, Zhili, et al.
Publicado: (2024)

Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline
por: Mu, Shiyi, et al.
Publicado: (2025)

Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes
por: Marinello, Nicola, et al.
Publicado: (2025)

A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions
por: Wang, Yu, et al.
Publicado: (2024)