Imagen de Portada

ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sahu, Nishad, Sural, Shounak, Patil, Aditya Satish, Ragunathan, Rajkumar
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

ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions
por: Sural, Shounak, et al.
Publicado: (2024)

BEVMAPMATCH: Multimodal BEV Neural Map Matching for Robust Re-Localization of Autonomous Vehicles
por: Sural, Shounak, et al.
Publicado: (2026)

ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
por: Sural, Shounak, et al.
Publicado: (2024)

Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
por: Sahu, Nishad, et al.
Publicado: (2026)

DriveSafer: End-to-End Autonomous Driving with Safety Guidance
por: Sural, Shounak, et al.
Publicado: (2026)

Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
por: Chen, Luke, et al.
Publicado: (2025)

Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles
por: Wu, Qiyuan, et al.
Publicado: (2025)

Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
por: Phan, Van-Hoang-Anh, et al.
Publicado: (2025)

Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities
por: Datta, Shounak, et al.
Publicado: (2025)

On the Assessment of Sensitivity of Autonomous Vehicle Perception
por: Vassilev, Apostol, et al.
Publicado: (2026)

AD$^2$: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems
por: Sahu, Ishan, et al.
Publicado: (2026)

Vehicle-to-Everything Cooperative Perception for Autonomous Driving
por: Huang, Tao, et al.
Publicado: (2023)

Uncertainty Quantification for Visual Object Pose Estimation
por: Shaikewitz, Lorenzo, et al.
Publicado: (2025)

Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability
por: Park, Young-Jin, et al.
Publicado: (2024)

SeePerSea: Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
por: Jeong, Mingi, et al.
Publicado: (2024)

HAViT: Historical Attention Vision Transformer
por: Banik, Swarnendu, et al.
Publicado: (2026)

Privacy-Preserving in Connected and Autonomous Vehicles Through Vision to Text Transformation
por: Rezaei, Abdolazim, et al.
Publicado: (2025)

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer
por: You, Junwei, et al.
Publicado: (2023)

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

Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception
por: Carmichael, Spencer, et al.
Publicado: (2024)

Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare
por: Zocco, Federico, et al.
Publicado: (2024)

Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis
por: Li, Vladislav, et al.
Publicado: (2024)

Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles
por: Xia, Zi-Xiang, et al.
Publicado: (2024)

Real Time Offside Detection using a Single Camera in Soccer
por: Desai, Shounak
Publicado: (2025)

DiffMorph: Text-less Image Morphing with Diffusion Models
por: Chatterjee, Shounak
Publicado: (2024)

UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time
por: Schmarje, Lars, et al.
Publicado: (2024)

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
por: Lepori, Michael A., et al.
Publicado: (2024)

ClaudesLens: Uncertainty Quantification in Computer Vision Models
por: Shaar, Mohamad Al, et al.
Publicado: (2024)

Same or Not? Enhancing Visual Perception in Vision-Language Models
por: Marsili, Damiano, et al.
Publicado: (2025)

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
por: Huang, Huiqun, et al.
Publicado: (2025)

Melanoma Detection with Uncertainty Quantification
por: Kim, SangHyuk, et al.
Publicado: (2024)

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors
por: Yuan, Tianyuan, et al.
Publicado: (2024)

HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles
por: Qu, Deyuan, et al.
Publicado: (2024)

Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention
por: Tao, Yihang, et al.
Publicado: (2024)

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

Deep Learning-Based Object Detection for Autonomous Vehicles: A Comparative Study of One-Stage and Two-Stage Detectors on Basic Traffic Objects
por: Karbouj, Bsher, et al.
Publicado: (2026)

Evaluating Graphical Perception Capabilities of Vision Transformers
por: Poonam, Poonam, et al.
Publicado: (2026)

Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift
por: Beemelmanns, Till, et al.
Publicado: (2026)

Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
por: Wursthorn, Kira, et al.
Publicado: (2024)

UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection
por: Wang, Yuchao, et al.
Publicado: (2024)