Search for dissertations about: "pedestrian"
Showing result 1 - 5 of 102 swedish dissertations containing the word pedestrian.
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1. Integrated pedestrian safety assessment methodology
Abstract : Pedestrian fatalities and injuries are a concern in many regions. Passive safety assessment is well established, and additional active safety assessment has recently emerged. However, assessment methods reflecting on the interaction between active and passive safety do not exist in regulatory or consumer testing. READ MORE
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2. Pedestrian Shoulder and Spine Kinematics and their Influence on Head Kinematics
Abstract : Pedestrian to vehicle crashes still represent a major health issue worldwide. In order to prevent fatalities and injuries during the in-crash phase of a pedestrian accident, a sound understanding of pedestrian in-crash kinematics is required and Human Body Models (HBMs) are valuable tools when studying such kinematics. READ MORE
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3. Predicting Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning Methods
Abstract : Background: The statistics on global road safety show a great demand for reducing the fatalities caused by pedestrian-vehicle collisions. By utilizing artificial intelligence such as deep learning, human drivers can be supported by better driver assistance systems, and thereby the fatalities caused by human errors can be reduced. READ MORE
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4. Urban outdoor lighting : Pedestrian perception, evaluation and behaviour in the lit environment
Abstract : Walking plays an essential role in sustainable transport systems, as nearly all journeys in the urban environment incorporate walking in one way or another. In parts of the world, for long periods of the year, seasonal variation in daylight hours means that pedestrians must rely on outdoor lighting to make cities accessible after dark. READ MORE
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5. Modelling Pedestrians in Autonomous Vehicle Testing
Abstract : Realistic modelling of pedestrians in Autonomous Vehicles (AV)s and AV testing is crucial to avoid lethal collisions in deployment. The majority of AV trajectory forecasting literature do not utilize the motion cues present in 3D human pose because it is hard to gather large datasets of articulated 3D pedestrian motion. READ MORE