[HTML][HTML] Fuel-saving opportunities for automated vehicles: A driving cycle analysis
We calculate the energy demand of automated vehicles for different driving cycles. We alter
standard driving cycles to depict the driving behavior of automated vehicles. We further …
standard driving cycles to depict the driving behavior of automated vehicles. We further …
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 …
A rigorous multi-population multi-lane hybrid traffic model for dissipation of waves via autonomous vehicles
In this paper, a multi-lane multi-population microscopic model, which presents stop-and-go
waves, is proposed to simulate traffic on a ring-road. Vehicles are divided between human …
waves, is proposed to simulate traffic on a ring-road. Vehicles are divided between human …
[HTML][HTML] Multi-model running latency optimization in an edge computing paradigm
Recent advances in both lightweight deep learning algorithms and edge computing
increasingly enable multiple model inference tasks to be conducted concurrently on …
increasingly enable multiple model inference tasks to be conducted concurrently on …
Beamforming and scalable image processing in vehicle-to-vehicle networks
Abstract Vehicle to Vehicle (V2V) communication allows vehicles to wirelessly exchange
information on the surrounding environment and enables cooperative perception. It helps …
information on the surrounding environment and enables cooperative perception. It helps …
[HTML][HTML] FCOSH: A novel single-head FCOS for faster object detection in autonomous-driving systems
In autonomous driving systems, object detection plays a pivotal role by facilitating their
ability to perceive the surrounding road environment effectively. Object detection's foremost …
ability to perceive the surrounding road environment effectively. Object detection's foremost …
[HTML][HTML] CN+: Vehicular Dataset at Traffic Light Regulated Intersection in Bremen, Germany
Abstract Vehicular Ad-Hoc Networks (VANETs) were introduced to avoid vehicular-related
accidents and to improve the safety of both vehicular passengers and other road users. In …
accidents and to improve the safety of both vehicular passengers and other road users. In …
Trajectory tracking control considering the transmission backlash of the dual-motor autonomous steering system
Z Wu, X Xu, J Xie, Z Liu, S He - Proceedings of the Institution …, 2023 - journals.sagepub.com
In order to solve the tracking error caused by transmission backlash in the dual-motor
autonomous steering system, and thus improve the trajectory tracking accuracy of …
autonomous steering system, and thus improve the trajectory tracking accuracy of …
On the QNX IPC: Assessing predictability for local and distributed real-time systems
With the advent of massively distributed applications such as those required by the IoT-to-
Edge-to-Cloud compute continuum (ie, automotive, smart agriculture, smart manufacturing …
Edge-to-Cloud compute continuum (ie, automotive, smart agriculture, smart manufacturing …
Genetically optimized TD3 algorithm for efficient access control in the internet of vehicles
AA Al-Atawi - Wireless Networks, 2024 - Springer
Abstract The Internet of Vehicles (IoV) is currently experiencing significant development,
which has involved the introduction of an efficient Access Control Mechanism (ACM) …
which has involved the introduction of an efficient Access Control Mechanism (ACM) …