[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
Edge computing for autonomous driving: Opportunities and challenges
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …
Autonomous cars: Research results, issues, and future challenges
R Hussain, S Zeadally - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
Collaborative and adversarial network for unsupervised domain adaptation
In this paper, we propose a new unsupervised domain adaptation approach called
Collaborative and Adversarial Network (CAN) through domain-collaborative and domain …
Collaborative and Adversarial Network (CAN) through domain-collaborative and domain …
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions
Abstract Modern-day Connected and Autonomous Vehicles (CAVs) with more than 100
million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and …
million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and …
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles
Abstract Emerging Connected and Autonomous Vehicles (CAVs) technology have a
ubiquitous communication framework. It poses security challenges in the form of cyber …
ubiquitous communication framework. It poses security challenges in the form of cyber …
Liquid: Intelligent resource estimation and network-efficient scheduling for deep learning jobs on distributed GPU clusters
Deep learning (DL) is becoming increasingly popular in many domains, including computer
vision, speech recognition, self-driving automobiles, etc. GPU can train DL models efficiently …
vision, speech recognition, self-driving automobiles, etc. GPU can train DL models efficiently …
Building the computing system for autonomous micromobility vehicles: Design constraints and architectural optimizations
This paper presents the computing system design in our commercial autonomous vehicles,
and provides a detailed performance, energy, and cost analyses. Drawing from our …
and provides a detailed performance, energy, and cost analyses. Drawing from our …
[HTML][HTML] IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges
The concept of the Internet-of-Batteries (IoB) has recently emerged and offers great potential
for the control and optimization of battery utilization in electric vehicles (EV). This concept …
for the control and optimization of battery utilization in electric vehicles (EV). This concept …
[HTML][HTML] Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future
The vehicle business has accomplished extraordinary outcomes in creating dependable,
sheltered and reasonable vehicles throughout the only remaining century. Autonomous …
sheltered and reasonable vehicles throughout the only remaining century. Autonomous …