Copertina

Faster-HEAL: An Efficient and Privacy-Preserving Collaborative Perception Framework for Heterogeneous Autonomous Vehicles

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Maleki, Armin, Radha, Hayder
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

WILD SAM: A Simulated-and-Real Data Augmentation for Autonomous Driving Perception under Challenging Weather
di: Khatounabadi, Hamed, et al.
Pubblicazione: (2026)

Collaborative Perception Datasets in Autonomous Driving: A Survey
di: Yazgan, Melih, et al.
Pubblicazione: (2024)

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

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

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

VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots
di: Srivastava, Kushagra, et al.
Pubblicazione: (2025)

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
di: Ma, Tao, et al.
Pubblicazione: (2024)

MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving
di: Lu, Xiaohu, et al.
Pubblicazione: (2026)

Monocular Localization with Semantics Map for Autonomous Vehicles
di: Wan, Jixiang, et al.
Pubblicazione: (2024)

Neural Semantic Map-Learning for Autonomous Vehicles
di: Herb, Markus, et al.
Pubblicazione: (2024)

DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments
di: Natan, Oskar, et al.
Pubblicazione: (2022)

Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception
di: Wu, Yuheng, et al.
Pubblicazione: (2025)

V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
di: Chiu, Hsu-kuang, et al.
Pubblicazione: (2025)

LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
di: Cellina, Marcello, et al.
Pubblicazione: (2025)

LLM-VLM Fusion Framework for Autonomous Maritime Port Inspection using a Heterogeneous UAV-USV System
di: Din, Muhayy Ud, et al.
Pubblicazione: (2026)

Joint Perception and Prediction for Autonomous Driving: A Survey
di: Dal'Col, Lucas, et al.
Pubblicazione: (2024)

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising
di: Lu, Xiaohu, et al.
Pubblicazione: (2024)

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

Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles
di: Lee, Der-Hau
Pubblicazione: (2022)

Efficient Real-time Smoke Filtration with 3D LiDAR for Search and Rescue with Autonomous Heterogeneous Robotic Systems
di: Kyuroson, Alexander, et al.
Pubblicazione: (2023)

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

Towards Long-Range 3D Object Detection for Autonomous Vehicles
di: Khoche, Ajinkya, et al.
Pubblicazione: (2023)

DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
di: Natan, Oskar, et al.
Pubblicazione: (2023)

Privacy-Preserving Semantic Segmentation from Ultra-Low-Resolution RGB Inputs
di: Huang, Xuying, et al.
Pubblicazione: (2025)

A Comprehensive Safety Metric to Evaluate Perception in Autonomous Systems
di: Volk, Georg, et al.
Pubblicazione: (2025)

Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
di: Han, Jianhua, et al.
Pubblicazione: (2025)

S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles
di: Wang, Xiao, et al.
Pubblicazione: (2024)

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving
di: Zhang, Yi, et al.
Pubblicazione: (2025)

Towards Latency-Aware 3D Streaming Perception for Autonomous Driving
di: Peng, Jiaqi, et al.
Pubblicazione: (2025)

TrajDiff: End-to-end Autonomous Driving without Perception Annotation
di: Gui, Xingtai, et al.
Pubblicazione: (2025)

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
di: Xie, Shaoyuan, et al.
Pubblicazione: (2024)

Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception
di: Liu, Liangkai, et al.
Pubblicazione: (2026)

Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles
di: Liu, Jiawei, et al.
Pubblicazione: (2026)

Sonar-GPS Fusion for Seabed Mapping in Turbid Shallow Waters with an Autonomous Surface Vehicle
di: Zhang, Yisheng, et al.
Pubblicazione: (2026)

Revolutionizing Underwater Exploration of Autonomous Underwater Vehicles (AUVs) and Seabed Image Processing Techniques
di: R, Rajesh Sharma, et al.
Pubblicazione: (2023)

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
di: Li, Yongkang, et al.
Pubblicazione: (2026)

EPSM: A Novel Metric to Evaluate the Safety of Environmental Perception in Autonomous Driving
di: Gamerdinger, Jörg, et al.
Pubblicazione: (2025)

From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving
di: Chen, Yixiao, et al.
Pubblicazione: (2025)

Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
di: Shi, Yining, et al.
Pubblicazione: (2023)