Cover Image

ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kösel, Michael, Schreiber, Marcel, Ulrich, Michael, Gläser, Claudius, Dietmayer, Klaus
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
by: Abdelsamad, Mohamed, et al.
Published: (2025)

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation
by: Shojaei, Hanieh, et al.
Published: (2024)

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
by: Mohan, Rohit, et al.
Published: (2025)

LiDAR-based Object Detection with Real-time Voice Specifications
by: Kulkarni, Anurag
Published: (2025)

Relative Energy Learning for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2025)

Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
by: Miandashti, Hanieh Shojaei, et al.
Published: (2025)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)

Neural Distribution Prior for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2026)

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
by: Gopinathan, Vignesh, et al.
Published: (2025)

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring
by: Sanchez, Raul David Dominguez, et al.
Published: (2025)

VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks
by: Soyyigit, Ahmet, et al.
Published: (2024)

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

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation
by: Zhou, Chenxu, et al.
Published: (2024)

Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation
by: Mosco, Simone, et al.
Published: (2026)

Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection
by: Sadeghian, Reza, et al.
Published: (2025)

TimePillars: Temporally-Recurrent 3D LiDAR Object Detection
by: Calvo, Ernesto Lozano, et al.
Published: (2023)

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
by: Pfeuffer, Andreas, et al.
Published: (2018)

Multimodal Object Query Initialization for 3D Object Detection
by: van Geerenstein, Mathijs R., et al.
Published: (2023)

Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
by: Hegde, Deepti, et al.
Published: (2024)

Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
by: Arzberger, Alexandra, et al.
Published: (2025)

LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
by: Ho, Shing-Hei, et al.
Published: (2024)

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
by: Fruhwirth-Reisinger, Christian, et al.
Published: (2024)

Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences
by: Zhang, Mellon M., et al.
Published: (2025)

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
by: Fang, Jin, et al.
Published: (2023)

An Investigation of Beam Density on LiDAR Object Detection Performance
by: Griesbacher, Christoph, et al.
Published: (2025)

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
by: Xu, Xiang, et al.
Published: (2025)

Person Detection and Tracking from an Overhead Crane LiDAR
by: Jayawickrama, Nilusha, et al.
Published: (2026)

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
by: Pan, Tai-Yu, et al.
Published: (2023)

LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking
by: Teye, Martha Teiko, et al.
Published: (2025)

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
by: Zhang, Ruixiao, et al.
Published: (2024)

A New Adversarial Perspective for LiDAR-based 3D Object Detection
by: Zheng, Shijun, et al.
Published: (2024)

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
by: Qu, Zhan, et al.
Published: (2025)

LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection
by: Chen, Jinyin, et al.
Published: (2024)

ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
by: Lu, Xiaohu, et al.
Published: (2023)

RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems
by: Yang, Yanlong, et al.
Published: (2022)

Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection
by: Wang, Chaoqun, et al.
Published: (2025)

Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
by: Zhang, Tianya, et al.
Published: (2022)

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
by: Chandorkar, Adwait, et al.
Published: (2025)

Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
by: Zhu, Haoran, et al.
Published: (2025)