Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …

Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …

Vehicle localization plays a crucial role in ensuring the safe operation of autonomous
vehicles and the development of intelligent transportation systems (ITS). However, there is …

Due to the complex visual environment and incomplete display of parking slots on around-
view images, vision-based parking slot detection is a major challenge. Previous studies in …

Traditional machine learning algorithms are susceptible to objective factors such as video
quality and weather environment in the vehicle detection of Unmanned Aerial Vehicle (UAV) …

Abstract The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has
defined ambitious new benchmarks to advance the state‐of‐the‐art in autonomous …

In this paper, we proposed a novel and practical solution for the real-time indoor localization
of autonomous driving in parking lots. High-level landmarks, the parking slots, are extracted …

Line feature is regarded as a more intuitive and accurate landmark than point feature in
visual SLAM for its multiple-pixel comprehensiveness. However, uncertain factors, such as …

Autonomous parking in an indoor parking lot without human intervention is one of the most
demanded and challenging tasks of autonomous driving systems. The key to this task is …

The ability to identify, follow, approach, and intercept a non-stationary target is a desirable
capability of autonomous micro aerial vehicles (MAV) and puts high demands on reliable …