10,062 research outputs found

    Pedestrian Traffic Fatalities by State: 2016 Preliminary Data

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    The present study, based on preliminary data from all states and the District of Columbia (DC) for the first six months of 2016, found an increase of seven percent in the reported number of fatalities compared with the first six months of 2015. More than twice as many states had increases (34) than had decreases (15 plus DC) compared with 2015.After adjusting for anticipated underreporting in the preliminary state data, GHSA estimates the number of pedestrians killed in 2016 increased by 11 percent compared with 2015. This was the largest annual increase in both the number and percentage of pedestrian fatalities in the 40 years that national records have been kept, with the second largest increase occurring in 2015. In addition, pedestrian deaths as a percent of total motor vehicle crash deaths have increased steadily, from 11 percent in 2006 to 15 percent in 2015.The number of nationwide pedestrian fatalities for all of 2016 was estimated based on preliminary data provided by State Highway Safety Offices (SHSOs) for the first six months of 2016, taking into account historic data regarding the relative proportions of pedestrian fatalities that occurred in the first and second halves of the year. About 6,000 pedestrian fatalities are estimated to have occurred in 2016, which could make 2016 the first year in more than two decades with more than 6,000 pedestrain deaths

    Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California

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    Each year, millions of motor vehicle traffic accidents all over the world cause a large number of fatalities, injuries and significant material loss. Automated Driving (AD) has potential to drastically reduce such accidents. In this work, we focus on the technical challenges that arise from AD in urban environments. We present the overall architecture of an AD system and describe in detail the perception and planning modules. The AD system, built on a modified Acura RLX, was demonstrated in a course in GoMentum Station in California. We demonstrated autonomous handling of 4 scenarios: traffic lights, cross-traffic at intersections, construction zones and pedestrians. The AD vehicle displayed safe behavior and performed consistently in repeated demonstrations with slight variations in conditions. Overall, we completed 44 runs, encompassing 110km of automated driving with only 3 cases where the driver intervened the control of the vehicle, mostly due to error in GPS positioning. Our demonstration showed that robust and consistent behavior in urban scenarios is possible, yet more investigation is necessary for full scale roll-out on public roads.Comment: Accepted to Intelligent Vehicles Conference (IV 2017

    Human Motion Trajectory Prediction: A Survey

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    With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly important. Specifically, predicting future positions of dynamic agents and planning considering such predictions are key tasks for self-driving vehicles, service robots and advanced surveillance systems. This paper provides a survey of human motion trajectory prediction. We review, analyze and structure a large selection of work from different communities and propose a taxonomy that categorizes existing methods based on the motion modeling approach and level of contextual information used. We provide an overview of the existing datasets and performance metrics. We discuss limitations of the state of the art and outline directions for further research.Comment: Submitted to the International Journal of Robotics Research (IJRR), 37 page
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