This paper develops a stop-line-aided cooperative positioning framework for connected
vehicles, which creatively utilizes the location of the stop-line to achieve the positioning …

Connected and automated vehicle (CAV) can obtain the precise vehicle location information
via vehicle to infrastructure (V2I) communication to achieve the path tracking task under the …

Cooperative map matching (CMM) uses the global navigation satellite system (GNSS)
position information of a group of vehicles to improve the standalone localization accuracy …

Vehicle localization algorithms aim to provide an accurate location estimation of neighbor
vehicles for critical applications in intelligent vehicles. For the initial location estimation …

Accurate and robust localization is a fundamental requirement for safe autonomous driving.
Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation …

This thesis begins with a survey of current state-of-the art in-car navigation systems. The
pros and cons of the four commonly used information sources–GNSS/RF-based positioning …

Autonomous driving is currently one of the main focuses of attention in the automotive
industry. A requirement for efficient and safe driving of autonomous vehicles is the ability to …

Some advanced driver assistance systems require on-the-lane vehicle positioning on
accurate digital maps. The combination of high precision global navigation satellite systems …

Seamless positioning systems for complex environments have been a popular focus of
research on positioning safety for autonomous vehicles (AVs). In particular, the seamless …

Many vehicular applications such as navigation, collision avoidance, and location-based
services envisioned under intelligent transportation system (ITS) framework require position …