The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …

We present Argoverse, a dataset designed to support autonomous vehicle perception tasks
including 3D tracking and motion forecasting. Argoverse includes sensor data collected by a …

Evaluating and improving planning for autonomous vehicles requires scalable generation of
long-tail traffic scenarios. To be useful, these scenarios must be realistic and challenging …

Autonomous systems will soon be integrating into our lives as home assistants, delivery
drones, and driverless cars. The implementation of the level of automation in these systems …

In this paper we present a model predictive control algorithm designed for optimizing non-
linear systems subject to complex cost criteria. The algorithm is based on a stochastic …

The idea of cooperation has been introduced to self-driving cars about a decade ago with
the aim to reduce the occlusion caused by other users or the scene. More recently, the …

For past 10 years Advanced Driving Assistance System (ADAS) has rapidly grown. Recently
not only luxury cars but some entry level cars are equipped with ADAS applications, such as …

This paper presents the software framework established to facilitate cloud-hosted robot
simulation. The framework addresses the challenges associated with conducting a task …

The detection of surrounding vehicles is an essential task in autonomous driving, which has
been drawing enormous attention recently. When using laser scanners, L-Shape fitting is a …

In the recent past, several sampling-based algorithms have been proposed to compute
trajectories that are collision-free and dynamically-feasible. However, the outputs of such …