Sökning: "Advanced driver assistance systems"

Visar resultat 21 - 25 av 57 uppsatser innehållade orden Advanced driver assistance systems.

  1. 21. Matched Filters for Direct-Detection LiDAR in Non-Perpendicular Measurement Scenes

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Simon Ranefjärd; [2019]
    Nyckelord :;

    Sammanfattning : The ongoing development of Advanced Driver Assistance Systems (ADAS) and autonomous vehicles pushes the requirements of accurate measurements from several on-board sensors, one of which being the Light Detection And Ranging (LiDAR). The performance of the LiDAR measurements relies partially on the reflectivity of the target, the level of background noise and the angle of incidence to the measurement scene. LÄS MER

  3. 22. Convolutional Neural Network Quantisation for Accelerating Inference in Visual Embedded Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andrea Leopardi; [2018]
    Nyckelord :;

    Sammanfattning : The progress within the field of Deep Learning has enabled the realisationof many Computer Vision tasks with a high level of accuracy.In order to attain such achievements, neural networks have been designedgradually with deeper architectures. LÄS MER

  4. 23. Dynamic Speed Adaptation for Curves using Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Kirilll Narmack; [2018]
    Nyckelord :Machine; Learning; Artificial; Intelligence; MachineLearning; Machine-Learning; AI; ML; MLP; Neural; Networks; Multilayer-Perceptron; RFB; RBF-Network; Vehicle; Automation; AutonomousVehicles; Autonomous; SelfDriving; Self-Driving; Self; Driving; Curve; Speed; Adaptation; Adaption; CSA; ACC; Adaptive; Cruise; Control; Driving; Style; Driver; Behavior; Behaviour; Sample; Samples; Distance; Derivative; Speed; Velocity; Curvature; Road; Inclination; Lane; Width; Type; Acceleration; Longitudinal; Lateral; Data; Training; Test; Validation; Results; Discussion; Sustainability; Ethics; Ethical; Sustainable; Future; Today; Tomorrow; Yesterday; Robot; Robotics; System; Systems; Class; Classes; Bin; Bins; Tree; One; A; Dynamic; Using; Time; Delay; Volvo; Car; Cars; Corporation; Zenuity; School; Computer; Science; Master; Degree; Project; Thesis; Paper; Object; GPS; Map; Length; Research; Advanced; Машинное; Обучение; Искусственный; Интеллект; AI; ML; MLP; RBF; Автомобиль; Машына; Сеть; Робот; Водитель; Заворот; Дорога; Сам; Сама; Едет; Ехать; Учить; Учит; Учится; Автоматизация; Адаптация; Результат; Один; Одна; Одно; Вчера; Сегодня; Завтра; Дерево; Карта; ГПС; Информатика; Компьютер; Наука; Научная; Работа; Школа; Вольво; Завод; Транспорт; Maskininlärning; Artificiell; Intelligens; Inlärning; Maskin; AI; ML; MLP; RBF; Neural; Neurala; Nätverk; Artificiella; Automation; Själv; Självkörande; Körande; Bil; Fordon; Robot; Robotik; Körstil; Stil; Beteende; Adaption; Kurva; Lutning; Väg; CSA; ACC; Farthållare; Hastighet; Fart; Hållare; Inclination; Körfält; Fält; Spår; Bredd; Typ; Acceleration; Longitudinell; Lateral; Data; Traingin; Test; Validation; Resultat; Diskussion; Längd; Hållbarhet; Etik; Etiskt; Framtid; Dåtid; Idag; Imorgon; System; Class; Klass; Classer; Klasser; Träd; En; Ett; Fler; Flera; Dynamisk; Använda; Tid; Fördröjning; Tids; Volvo; Car; Corporation; Object; Zenuity; Skola; Dator; Vetenskap; Forkning; Avancerad; Projekt; Exjobb; Examensarbete; Betyg; GPS; Karta;

    Sammanfattning : The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. LÄS MER

  5. 24. Road Surface Preview Estimation Using a Monocular Camera

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Marcus Ekström; [2018]
    Nyckelord :Road Surface Preview; Computer Vision; Depth Estimation; Convolutional Neural Network; CNN; traffic safety; monocular camera; mono vision system; mono camera; Structure from motion; sfm; 3D Reconstruction; Autonomous Driving; Datorseende; trafiksäkerhet; djupuppskattning; mono kamera; 3D rekonstruktion; autonoma fordon;

    Sammanfattning : Recently, sensors such as radars and cameras have been widely used in automotives, especially in Advanced Driver-Assistance Systems (ADAS), to collect information about the vehicle's surroundings. Stereo cameras are very popular as they could be used passively to construct a 3D representation of the scene in front of the car. LÄS MER

  7. 25. Trajectory generation for safe overtaking maneuver inautonomous vehicles : Evaluated in lane merging scenario utilizing a trajectory planner

    Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)

    Författare :MOAAJ BHANA; [2018]
    Nyckelord :;

    Sammanfattning :  More than 1.2 million people die each year due to road traffic injuries [1]. In order to reduce traffic accidents and human errors, autonomous vehicles is been the subject of intense research. LÄS MER