Material science has historically evolved in tandem with advancements in technologies for
characterization, synthesis, and computation. Another type of technology to add to this mix is …

Autonomous terrestrial vehicles must be capable of perceiving traffic lights and recognizing
their current states to share the streets with human drivers. Most of the time, human drivers …

To standardize definitions and guide the design, regulation, and policy related to automated
transportation, the Society of Automotive Engineers (SAE) has established a taxonomy …

Over the last few years there has been an increasing number of papers using machine
learning (ML) as a tool to aid research directed towards perovskite solar cells. This review …

Automated vehicles are a revolutionary step in mobility, providing a safe and convenient
riding experience while keeping the human-driving task minimal to none. Therefore, these …

This paper presents a method to design a path tracking controller with four-wheel
independent braking (4WIB), drive (4WID) and steering (4WIS) systems equipped in in …

Trajectory prediction and behavioral decision-making are two important tasks for
autonomous vehicles that require a good understanding of the environmental context …

Many studies in the field of robot navigation have focused on environment representation
and localization. The goal of map representation is to summarize spatial information in …

In this paper, we present an end-to-end future-prediction model that focuses on pedestrian
safety. Specifically, our model uses previous video frames, recorded from the perspective of …

This research proposes an integrated behavioral and motion planner with proactive right-of-
way acquisition capability. The proposed planner overcomes the shortcomings of …