For clusters of UAVs, the scale and density of the cluster determine its ability to solve the
task. With the increasing density of aerial vehicles, effectively planning a reasonable flight …

Before widespread automated driving, driver assistance systems become more common
and can deliver safety benefits. This study focuses on current and future lane keeping …

Comprehensive safety evaluation methodologies for automated driving systems that account
for the large complexity real traffic are currently being developed. This work adopts a …

This paper presents self-adaptive motion prediction-based proactive motion planning for
autonomous driving in urban environments. In order to achieve fully autonomous driving in …

This paper presents a model for velocity control in blind corners and intersections based on
expert driver data. Accurate expert driver data was collected with a car equipped with a 3D …

In this paper we present a work on encoding, clustering and modeling expert driver
behaviors to be reproduced by an autonomous driving car agent. We collected speed …

This paper presents an approach for predictive driving when facing blind intersections
based on expert data. Expert drivers anticipate and avoid potential dangerous situations. In …

The increase in the number of automobiles has caused social problems such as traffic
accidents and chronic traffic congestion in urban areas. We focus on the Pedestrian-Vehicle …

This study enhances automated driving scenario-based safety assessment methods
previously developed for highways, and enables their application to urban areas. First, we …

This paper presents the collision preventive velocity planning algorithm to enhance safety
when driving the occluded region in an urban environment. The accidents due to the …