The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. This paper has been mechanically scanned. Some errors may have been inadvertently introduced. Abstract A fuzzy rule-based controller is applied to lateral g...

BRAINSTORMS is a monthly section of The Journal of Clinical Psychiatry aimed at providing updates of novel concepts emerging from the neurosciences that have relevance to the practicing psychiatrist. From the Clinical Neuroscience Research Center in San Diego and the Department of Psychiatry at the University of California San Diego. Reprint requests to: Stephen M. Stahl, M.D., Ph.D., Editor, B...

BRAINSTORMS is a monthly section of The Journal of Clinical Psychiatry aimed at providing updates of novel concepts emerging from the neurosciences that have relevance to the practicing psychiatrist. From the Clinical Neuroscience Research Center in San Diego and the Department of Psychiatry at the University of California San Diego. Reprint requests to: Stephen M. Stahl, M.D., Ph.D., Editor, B...

BACKGROUND Effects of cannabis, the most commonly encountered non-alcohol drug in driving under the influence cases, are heavily debated. We aim to determine how blood Δ(9)-tetrahydrocannabinol (THC) concentrations relate to driving impairment, with and without alcohol. METHODS Current occasional (≥1×/last 3 months, ≤3days/week) cannabis smokers drank placebo or low-dose alcohol, and inhaled ...

Traffic accidents are often caused by improper lane changes. Although the safety of lane-changing has attracted extensive attention in vehicle and traffic fields, there few studies considering lateral comfort users decision-making. Lane-changing decision-making single-step dynamic game with incomplete information path planning based on Bézier curve proposed this paper to coordinate performance ...

Abstract: This work presents results of low-order modelling of the planar dynamics of a tracked robot focusing on the coupled lateral, rotational, and longitudinal dynamics. This model is validated experimentally using a novel rolling roadway simulator that allows for uniform surface interaction as well as accurate sensing of vehicle position and orientation at high bandwidth. Comparing simulat...

This research proposes an accurate vehicular positioning system which can achieve lane-level performance in urban canyons. Multiple passive sensors, which include Global Navigation Satellite System (GNSS) receivers, onboard cameras and inertial sensors, are integrated in the proposed system. As the main source for the localization, the GNSS technique suffers from Non-Line-Of-Sight (NLOS) propag...

Misunderstanding of driver correction behaviors (DCB) is the primary reason for false warnings of lane-departureprediction systems. We propose a learning-based approach to predicting unintended lane-departure behaviors (LDB) and the chance for drivers to bring the vehicle back to the lane. First, in this approach, a personalized driver model for lanedeparture and lane-keeping behavior is establ...

Lane-free traffic is a novel research domain, in which vehicles no longer adhere to the notion of lanes, and consider whole lateral space within road boundaries. This constitutes an entirely different problem domain for autonomous driving compared lane-based traffic, as there leader vehicle or lane-changing operation. Therefore, observations need properly accommodate lane-free environment witho...

Locating the vehicle in its road is a critical part of any autonomous system and has been subject to different research topics. In most works presented literature, ego-localization split into three parts: Road level-localization consisting on which travels, Lane level localization lane Ego being lateral position ego-lane. For each part, several researches have conducted. However, relationship b...