Big data is a rapidly growing field, and new developments are constantly emerging to address various challenges. One such development the use of federated learning for recommendation systems (FRSs). An FRS provides way protect user privacy by training models using intermediate parameters instead real data. This approach allows cooperation between platforms while still complying with regulations. In this paper, we explored current state research on FRSs, highlighting existing issues possible...

Local mapping is valuable for many real-time applications of intelligent vehicle systems. Multivehicle <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>cooperative local mapping</i></b> can bring considerable benefits to vehicles operating in some challenging scenarios. In this paper, we introduce a method occupancy grid map merging, dedicated multivehicle cooperative purpose outdoor environments. general merging framework, propose an...

For cooperative intelligent transport systems (C-ITS), vehicle-to-everything (V2X) communication is utilized to allow autonomous vehicles share critical information with each other. We propose AutowareV2X, an implementation of a V2X module that integrated into the driving (AD) software, Autoware. AutowareV2X provides external connectivity entire AD stack, enabling end-to-end (E2E) experimentation and evaluation connected (CAV). The Collective Perception Service was also implemented, allowing...

Vehicle-to-Everything (V2X) communication enhances the capability of autonomous driving through better safety, efficiency, and comfort. In particular, sensor data sharing, known as cooperative perception, is a crucial technique to accommodate vulnerable road users in intelligent transport system (ITS). this paper, we describe roadside perception unit (RSPU) that combines sensors units (RSUs) for infrastructure-based perception. We propose software called AutoC2X designed realize RSPUs...

Existing potential functions (PFs) utilized in autonomous vehicles mainly focus on solving the path-planning problems some conventional driving scenarios; thus, their performance may not be satisfactory context of emergency obstacle avoidance. Therefore, we propose a novel model predictive controller (MPPC) combined with PFs to handle complex traffic scenarios (e.g., avoidance when sudden accident occurs). Specifically, enhance safety PFs, developed an MPPC case sigmoid-based safe passage...

The realization of vehicle-to-everything (V2X) communication enhances the capabilities autonomous vehicles in terms safety efficiency and comfort. In particular, sensor data sharing, known as cooperative perception, is a crucial technique to accommodate vulnerable road users intelligent transport system (ITS). this regard, open-source software plays significant role prototyping, validation, deployment. Specifically, developer community, Autoware popular for self-driving vehicles, OpenC2X an...

The rapid increase in the number of connected vehicles on roads has made Vehicular Ad-hoc Networks (VANETs) an attractive target for malicious actors. As a result, VANETs require secure data transmission to maintain network’s integrity. Federated Learning (FL) been proposed as data-sharing method VANETs, but it is limited its ability protect sensitive data. This paper proposes integrating Blockchain technology into FL provide additional layer security VANETs. In particular, we propose Secure...

The commercialization of 5G has been initiated for a while. Furthermore, millimeter wave (mmWave) introduced to small cells with coverage due its strong linearity and non-winding characteristics. On the other hand, in connected autonomous vehicles (CAV s), where various traffic systems can cooperatively perform recognition, decision-making, execution, communication is assumed be always connected. Therefore, use low latency mm Wave high-speed moving CAV, existing beamforming cannot follow...

Abstract The increasing demand for remote collaboration and working has become crucial to daily life owing the Covid-19 pandemic development of internet-based video distribution services. Furthermore, low-latency collaboration, such as teleoperation support applications designed in-vehicle environments, gained considerable attention. 5 G technology is considered a key infrastructure collaboration. This study aimed evaluate actual capability achieve high quality service (QoS) We implemented...

This paper proposes an intensive null-steering around the target in angular domain to effectively suppress inter-user interference (IUI) leakage caused by channel varying environment such as vehicular multiuser spatial multiplexing. Multiuser MIMO can enhance spectral efficiency multiplexing a number of user terminals domain. Suppose applying downlink vehicle-to-everything (V2X) scenario, vehicles move at high speed which causes IUI. Null-space expansion has been conceived that improve IUI...

Potential Field-based path planning methods are widely embraced in the context of autonomous vehicles due to their real-time efficiency and simplicity. While potential field effectively enforces a rigid road boundary keep vehicle within confines road, it can lead "blind alley" problem caused by local minima specific high-speed scenarios, resulting indecision, erratic behavior, or even accidents. Therefore, objective this research is anticipate address aforementioned order proactively avoid...

Autonomous vehicles have gained significant attention due to technological advancements and their potential transform transportation. A critical challenge in this domain is precise localization, particularly LiDAR-based map matching, which prone errors degeneracy the data. Most sensor fusion techniques, such as Kalman filter, rely on accurate error covariance estimates for each improve localization accuracy. However, obtaining reliable values matching remains a complex task. To address...

Accurate prediction of pedestrian trajectories is crucial for enhancing the safety autonomous vehicles and reducing traffic fatalities involving pedestrians. While numerous studies have focused on modeling interactions among pedestrians to forecast their movements, influence environmental factors scene-object placements has been comparatively underexplored. In this paper, we present a novel trajectory model that integrates both context improve accuracy. Our approach captures spatial temporal...

IPv6 support is needed in vehicular ad hoc network (VANET) with geographical routing. Basic protocols such as address auto-configuration assume multicast capable link. However, VANET, the definition of link becomes ambiguous and it difficult to link-scope multicast. Artificial emulation like Ethernet possible but may cause low efficiency high cost. A new way efficiently run over VANET this paper proposes a scheme. Our proposal takes architecture defined by C2C-CC (car-to-car communication...

The research world is paying a lot of attention on vehicular networks nowadays. Novel services need suitable communication channel in order to extend in-car capabilities and, generally, be aware about surrounding events. Such networks, however, present some special features, such as high mobility or specific topologies. These properties affect the performance applications, and more effort should directed identify necessities network. Few works deal with application requirements which...