Sökning: "Driving efficiency"

Visar resultat 1 - 5 av 339 uppsatser innehållade orden Driving efficiency.

  1. 1. On Systematically Exploring the State Space for Events with SFCs

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Younis Akel; Gianmarco Iachella; [2023-08-07]
    Nyckelord :Autonomous driving systems; scenario-based testing; space-filling curve SFC ; characteristic stripe patterns CSP ; permutations; state-space; areas of interest AOI ;

    Sammanfattning : In the process of developing autonomous driving systems (AD systems), ensuring safety remains a constant and continuous priority. Scenario-based testing is a popular approach to guarantee the safety of AD systems, which however meets challenges in terms of diversity and efficiency of generation, as well as evaluating existing test case datasets in terms of their coverage of the different variations of a particular maneuver. LÄS MER

  3. 2. Multimodala varningssignaler och dess påverkan på människors tillit till självkörande fordon

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Niklas Tolf; [2023]
    Nyckelord :;

    Sammanfattning : Den ökade autonomin inom olika samhällssektorer, särskilt utvecklingen av självkörande bilar har betydande konsekvenser för samhället. Självkörande bilar erbjuder fördelar såsom minskade trafikolyckor, lägre utsläpp och förbättrad trafikflödeseffektivitet. LÄS MER

  4. 3. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Md Mamunur Rashid; [2023]
    Nyckelord :LTE-V2X; aperiodic; variable size; CAM; Technology and Engineering;

    Sammanfattning : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. LÄS MER

  5. 4. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  7. 5. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marcus Ascard; Farjam Movahedi; [2023]
    Nyckelord :3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Sammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER