The development of intelligent Vehicles (IVs) requires extensive standard datasets for
training, benchmarking, and improvement. Autonomous Navigation and Mapping (ANM), as …

One of the critical tasks required for fully autonomous functionality is the ability to achieve an
accurate navigation solution; that is, to determine the platform position, velocity, and …

The advancement of artificial intelligence (AI) has truly stimulated the development and
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …

Abstract Low-cost Inertial Navigation Sensors (INS) can be exploited for a reliable solution
for tracking autonomous vehicles in the absence of GPS signals. However, position errors …

High-Definition (HD) Maps are indispensable components of an autonomous vehicle
software stack, containing a precise representation of the static surroundings. Prediction …

There is a major challenge in collecting real-world data for training the AI Agents of self-
driving Cars, Drones, and Automated Guided Vehicles (AGVs). The process is slow and …

The field of autonomous driving has grown tremendously over the past few years, along with
the rapid progress in sensor technology. One of the major purposes of using sensors is to …

As automation and informatization become a prevailing trend in industries, goods delivery
and transportation are pivotal. Autonomous Guided Vehicles (AGV) is such a machine that …

Mapping and localization is a critical module of autonomous driving, and significant
achievements have been reached in this field. Beyond Global Navigation Satellite System …

We describe the release of reference data towards a challenging long-term localisation and
mapping benchmark based on the large-scale Oxford RobotCar Dataset. The release …