Working with mobile robots, prior to execute the local planning stage, they must know the
environment where they are moving. For that reason the perception and mapping stages …

Driving environment perception technology is a key issue for driving assistance systems and
autonomous vehicles. Driving environment information collection and information fusion and …

Autonomous vehicles need a real-time traffic tracking system in order to interact with multiple
moving vehicles in urban situations. Most existing works rely on camera sensors to interpret …

Autonomous driving poses unique challenges for vehicle environment perception due to the
complicated driving environment where the autonomous vehicle connects itself with …

Autonomous driving poses unique challenges for vehicle environment perception systems. It
is highly desirable that we utilize existing vehicle-equipped driver-assistant sensors, without …

In this paper, the commonly used filtering technique occupancy grid mapping for static
environments is extended for dynamic environments. The proposed method is able to …

This thesis introduces a cutting-edge approach to enhance the perception capabilities of
autonomous vehicles in real-world driving scenarios. The research aims to recognize and …

This work gives a summary of our implemented algorithm for dynamic grid map with
integrated cell-based velocity estimation. We propose a novel approach to generate prior …

Autonomous driving poses unique challenges for vehicle environment perception in
complex driving environments. Due to the uncertain nature of the vehicle environment and …

This article presents a novel approach to calculate and accelerate the Occupancy Grid
Mapping (OGM) for real‐time mobile robot navigation. Here, we have improved the main …