Cover Image

In-Vehicle Edge System for Real-Time Dashcam Video Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Seyul, King, Jayden, Lee, Young Choon, Han, Hyuck, Kang, Sooyong
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Evolution of Decentralized Systems: From Gray's Framework to Blockchain and Beyond
by: Dong, Zhongli, et al.
Published: (2026)

FCPO: Federated Continual Policy Optimization for Real-Time High-Throughput Edge Video Analytics
by: Liebe, Lucas, et al.
Published: (2025)

TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge
by: Lee, JunKyu, et al.
Published: (2021)

A Distributed Consensus Algorithm for Prioritizing Autonomous Vehicle Passing at Unsignalized Intersections under Mixed Traffic
by: Lee, Younjeong, et al.
Published: (2025)

GreenWhisk: Emission-Aware Computing for Serverless Platform
by: Serenari, Jayden, et al.
Published: (2024)

OCTOPINF: Workload-Aware Inference Serving for Edge Video Analytics
by: Nguyen, Thanh-Tung, et al.
Published: (2025)

DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
by: Maharaj, Davendra, et al.
Published: (2026)

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
by: Gao, Chuanchao, et al.
Published: (2025)

Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks
by: Sharma, Akash, et al.
Published: (2026)

AIGC-assisted Federated Learning for Vehicular Edge Intelligence: Vehicle Selection, Resource Allocation and Model Augmentation
by: Qiang, Xianke, et al.
Published: (2025)

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
by: Cao, Jiahe, et al.
Published: (2026)

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks
by: Zhan, Huiyou, et al.
Published: (2025)

S2M3: Split-and-Share Multi-Modal Models for Distributed Multi-Task Inference on the Edge
by: Yoon, JinYi, et al.
Published: (2025)

Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems
by: Kumar, Niraj, et al.
Published: (2024)

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
by: Mia, Md Jueal, et al.
Published: (2025)

6G EdgeAI: Performance Evaluation and Analysis
by: Yang, Chien-Sheng, et al.
Published: (2025)

The Design and Implementation of a High-Performance Log-Structured RAID System for ZNS SSDs
by: Li, Jinhong, et al.
Published: (2024)

Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System
by: Ching, Cheng-Wei, et al.
Published: (2026)

Pagoda: An Energy and Time Roofline Study for DNN Workloads on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2025)

Leveraging Public Cloud Infrastructure for Real-time Connected Vehicle Speed Advisory at a Signalized Corridor
by: Deng, Hsien-Wen, et al.
Published: (2024)

Edge System Design Using Containers and Unikernels for IoT Applications
by: Kaiser, Shahidullah, et al.
Published: (2024)

Lessons Learned from Building Edge Software System Testbeds
by: Pfandzelter, Tobias, et al.
Published: (2024)

Distributed Resource Selection for Self-Organising Cloud-Edge Systems
by: Renau, Quentin, et al.
Published: (2025)

AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination
by: Chen, Ching Han, et al.
Published: (2025)

TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI
by: Kwak, Hyunseok, et al.
Published: (2025)

FunLess: Functions-as-a-Service for Private Edge Cloud Systems
by: De Palma, Giuseppe, et al.
Published: (2024)

A Real-Time Digital Twin for Adaptive Scheduling
by: Zhang, Yihe, et al.
Published: (2025)

Optimising Blockchain Scalability for Real-Time IoT Applications
by: Rhidoy, Hasan Mahmud, et al.
Published: (2026)

Maxwait: A Generalized Mechanism for Distributed Time-Sensitive Systems
by: Paladino, Francesco, et al.
Published: (2026)

A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
by: Trieu, Quoc Lap, et al.
Published: (2026)

Where to Split? A Pareto-Front Analysis of DNN Partitioning for Edge Inference
by: Masud, Adiba, et al.
Published: (2026)

Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency
by: Yakubov, Diyaz, et al.
Published: (2025)

Efficient Scheduling of Vehicular Tasks on Edge Systems with Green Energy and Battery Storage
by: Sarkar, Suvarthi, et al.
Published: (2024)

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
by: Rublein, Caroline, et al.
Published: (2024)

Distributed Edge Analytics in Edge-Fog-Cloud Continuum
by: Srirama, Satish Narayana
Published: (2024)

BlazeAIoT: A Modular Multi-Layer Platform for Real-Time Distributed Robotics Across Edge, Fog, and Cloud Infrastructures
by: Melancon, Cedric, et al.
Published: (2026)

GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
by: Navardi, Mozhgan, et al.
Published: (2025)

EdgeFaaS: A Function-based Framework for Edge Computing
by: Jin, Runyu, et al.
Published: (2022)

H-EYE: Holistic Resource Modeling and Management for Diversely Scaled Edge-Cloud Systems
by: Dagli, Ismet, et al.
Published: (2024)

CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing
by: Hu, Yujiao, et al.
Published: (2024)