Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
Performance evaluation of zone-based in-vehicle network architecture for autonomous vehicles
C Park, S Park - Sensors, 2023 - mdpi.com
In recent years, various functions such as advanced driver assistance systems (ADAS) and
infotainment systems are being mounted in vehicles for safety and convenience to drivers …
infotainment systems are being mounted in vehicles for safety and convenience to drivers …
Multi-agent system for rogue drone interception
A multitude of applications based on unmanned aircraft vehicles (UAVs), in conjunction with
the UAVs' diminishing costs and increasing capabilities, present a major threat to public …
the UAVs' diminishing costs and increasing capabilities, present a major threat to public …
Hardware acceleration of data distribution service (dds) for automotive communication and computing
C Scordino, AG Mariño, F Fons - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing growth in complexity of vehicles' functionalities is driving a technological shift
in the design of software architectures in the automotive industry. Traditional signal-oriented …
in the design of software architectures in the automotive industry. Traditional signal-oriented …
Understanding time variations of dnn inference in autonomous driving
Deep neural networks (DNNs) are widely used in autonomous driving due to their high
accuracy for perception, decision, and control. In safety-critical systems like autonomous …
accuracy for perception, decision, and control. In safety-critical systems like autonomous …
Bounding the Data-Delivery Latency of DDS Messages in Real-Time Applications
Many modern applications need to run on massively interconnected sets of heterogeneous
nodes, ranging from IoT devices to edge nodes up to the Cloud. In this scenario …
nodes, ranging from IoT devices to edge nodes up to the Cloud. In this scenario …
Cloud and Edge Computing for Connected and Automated Vehicles
The recent development of cloud computing and edge computing shows great promise for
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …
RTeX: an Efficient and Timing-Predictable Multi-threaded Executor for ROS 2
ROS (Robot Operating System) is a widely used robotic software development framework. In
safety-critical applications that require timing guarantees, the first generation of ROS falls …
safety-critical applications that require timing guarantees, the first generation of ROS falls …
FastCycle: a message sharing framework for modular automated driving systems
M Testouri, G Elghazaly, R Frank - arXiv preprint arXiv:2211.15495, 2022 - arxiv.org
Automated Driving Systems (ADS) have rapidly evolved in recent years and their
architecture becomes sophisticated. Ensuring robustness, reliability and safety of …
architecture becomes sophisticated. Ensuring robustness, reliability and safety of …
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
The automotive industry is transitioning from traditional ECU-based systems to software-
defined vehicles. A central role of this revolution is played by containers, lightweight …
defined vehicles. A central role of this revolution is played by containers, lightweight …