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The perception system is a critical element of autonomous driving, where real-time and accurate segmentation of drivable areas and lanes is essential for intelligent decision-making during vehicle operation. Current approaches primarily focus on ...

The trend of progressive technology scaling makes the computing system more susceptible to soft errors. The most critical issue that soft error incurs is silent data corruption (SDC) since SDC occurs silently without any warnings to users. Estimating SDC ...

It is anticipated that ridesharing will deliver solutions for transportation-related problems in large cities. A key issue of ridesharing is how to recommend a trustable ridesharing group. Because of the sparse rating on trust relations, large-scale group ...

Soft errors are increasing in computer systems due to shrinking feature sizes. Soft errors can induce incorrect outputs, also called silent data corruption (SDC), which raises no warnings in the system and hence is difficult to detect. To prevent ...

As process technology scales, electronic devices become more susceptible to soft errors. Soft errors can lead to silent data corruptions (SDCs), seriously compromising the reliability of a system. Researchers have explored error resilient encodings, which ...

A vehicular ad hoc network (VANET) is essential for the autonomous vehicle industry, and with the advancement in VANET technology, security threats are increasing rapidly. Mitigation of these threats needs an intelligent security protocol that provides ...

Recently, vehicular ad hoc networks (VANETs) got much popularity and are now being considered as integral parts of the automobile industry. As a subclass of MANETs, the VANETs are being used in the intelligent transport system (ITS) to support passengers, ...

The advancements in Vehicular Ad Hoc Networks (VANETs) require more intelligent security protocols that ultimately provide unbreakable security to vehicles and other components of VANETs. VANETs face various types of security pitfalls due to the openness ...

Ridesharing has attracted increasing attention in recent years, and combines the flexibility and speed of private cars with the reduced cost of fixed-line systems to benefit alleviating traffic pressure. A major issue in ridesharing is the accurate ...

Taxi trajectory prediction plays an important role in perceiving urban traffic conditions and analyzing taxi passengers' travel behaviors. In this paper, an urban taxi trajectory prediction model is proposed based on attention mechanism and Long-short ...

The purpose of map matching is to calibrate longitude and latitude values measured by GPS device and then project the GPS point onto a road segment. It has been widely used in navigation, data-driven traffic flow analysis and location based services. ...

Point-of-interest (POI) recommendations are a popular form of personalized service in which users share their POI location and related content with their contacts in location-based social networks (LBSNs). The similarity and relatedness between users of ...

Many data-parallel applications, including emerging media applications, have regular structures that can easily be expressed as a series of data parallel function operating on data streams. Data-parallel architectures are designed to exploit this ...