Autonomous driving is among the most promising of upcoming traffic safety technologies.
Prototypes of autonomous vehicles are already being tested on public streets today …

We present the MiniCity, a multi-vehicle evaluation platform for testing perception hardware
and software for autonomous vehicles. The MiniCity is a 1/10th scale city consisting of …

Currently decision making is one of the biggest challenges in autonomous driving. This
paper introduces a method for safely navigating an autonomous vehicle in highway …

The University of Toronto is one of eight teams competing in the SAE AutoDrive Challenge-a
competition to develop a self-driving car by 2020. After placing first at the Year 1 challenge …

Abstract The SAE AutoDrive Challenge is a 3‐year collegiate competition to develop a self‐
driving car by 2020. The second year of the competition was held in June 2019 at MCity, a …

This study comparatively tests the performance of two real-time PPP services used in
automated vehicle technologies, namely Trimble CenterPoint RTX and TerraStar-C Pro. This …

Autonomous cars can reduce road traffic accidents and provide a safer mode of transport.
However, key technical challenges, such as safe navigation in complex urban environments …

Abstract Non-Playable Characters (NPCs) are essential for creating a fully immersive video
game experience. However, their behaviours are typically programmed using rigid methods …

In this paper, a steering action-aware Adaptive Cruise Control (ACC) approach for
teleoperated road vehicles is proposed. In order to keep the vehicle in a safe state, the ACC …

As vision plays a central role in the operation of autonomous cars, one key challenge is that
the limited dynamic range of camera sensors can only capture a certain portion of the scene …