Localization services play an important role in Internet of Connected Vehicles (IoCV) and
vehicle predictive localization information can greatly improve traffic efficiency and reduce …

Vehicle self-localization, the ability of a vehicle to determine its own location, is vital for many
aspects of Intelligent Transportation Systems (ITS) and telematics where it is often a building …

Extended Kalman Filters have been widely applied for tracking the location of moving semi-
autonomous vehicles. The latter are equipped with a multitude of sensors generating multi …

Visual localization in vehicle navigation remains a crucial image retrieval task to determine
the best matched image. Developing an efficient algorithm to address the localization issues …

Localization is an essential technique in mobile robotics. In a complex environment, it is
necessary to fuse different localization modules to obtain more robust results, in which the …

Intelligent vehicle applications, such as autonomous driving and collision avoidance, put
forward a higher demand for precise positioning of vehicles. The current widely used global …

Seat-level positioning of a smartphone in a vehicle can provide a fine-grained context for
many interesting in-vehicle applications, including driver distraction prevention, driving …

When a vehicle observes another one, the two vehicles' poses are correlated by this spatial
relative observation, which can be used in cooperative localization for further increasing …

In this paper, we consider the problem of event localization in the presence of anomalous
nodes, in Internet of Things (IoT) and Mobile Crowd Sensing (MCS) systems. A sensing …

We present a systematic approach called Extended VINS-Mono to utilize VINS-Mono, a state-
of-the-art monocular visual-inertial relative localization method, targeting practical vehicle …