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In this work, the realisation of an adaptive driving beam is examined that is based on the motion prediction of the ego vehicle and other traffic participants. Furthermore, light functions are developed and analysed regarding their effectiveness that project situation adaptive recommendations for action in front of the vehicle regarding a turn or lane change intention of the driver.
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This Special Issue presents a selection of current solutions for vehicle surroundings perception systems. This perception is essential for many advanced driver application systems and autonomous driving, and there are currently several challenges that need addressing. Perception can be obtained using on-board sensors, but, due to their limitations, the development of sensor fusion techniques or specific algorithms is needed. Vehicle positioning is also important, but further refined accuracy and specific requirements arise with each new application. Apart from on-board sensors, wireless communication can provide information from a larger electronic horizon that can be used for better decision making. Finally, all this information can be used to enhance development of autonomous driving
Computer vision --- Obstacles detection --- Connected vehicles --- Vehicle surroundings supervision --- Vehicle surroundings reconstruction --- Visual SLAM --- Autonomous driving --- V2X communications --- Driver assistance systems --- Laser scanner --- Data fusion --- Trajectory estimation --- Cooperative driving
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"L'automobile vit aujourd'hui une période de changements technologiques majeurs. Les usages évoluent ainsi que les technologies, et l'avènement des véhicules à divers niveaux d'autonomie devient une réalité. Mais quels ressorts techniques, normatifs ou humains se cachent derrière ces nouvelles mobilités ? Après avoir défini avec précision les différents niveaux d'autonomie et les contextes juridique et réglementaire dans lesquels doivent être conçus les véhicules qui seront en circulation de 2020 à 2035, cet ouvrage détaille tous les capteurs (infrarouge, ultrason, caméras, lidar, radar...), les ADAS (Advanced Driver Assistance Systems), les réseaux (CAN-FD, FlexRay, Backbone Ethernet...) et les logiciels (développement, simulation...) qui équiperont de façon optimale les futurs véhicules autonomes, tant pour leur sécurité de fonctionnement sur route que contre les cyber-attaques." [Quatrième de couverture]
Automated vehicles --- Automobiles --- Véhicules autonomes. --- Automatic control --- Commande automatique --- Véhicules autonomes. --- Automated vehicles. --- Driver assistance systems. --- Intelligent transportation systems. --- Local area networks (Computer networks) --- Local Area Networks --- Réseaux locaux (Informatique) --- Systèmes de transport intelligents. --- LANs (networks) --- lances (cavalry weapons) --- Systèmes de transport intelligent. --- CAN (réseau d'ordinateurs) --- Multiplexage. --- Systèmes d'aide à la conduite.
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