Essays about: "Vehicle and Pedestrians"

Showing result 1 - 5 of 48 essays containing the words Vehicle and Pedestrians.

  1. 1. Developing an Automated Drivability Index for Swedish Roadways

    University essay from KTH/Transportplanering

    Author : ANDREI DAVID RADU; [2023]
    Keywords : ;

    Abstract : The masters thesis aims to determine a method to understand which road segments could pose safety risks or where Level 4 autonomous vehicles would operate poorly in the Swedish road context. This vehicle’s ability to operate adequately can be defined as ‘drivable’. READ MORE

  3. 2. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Raahitya Botta; Aditya Aditya; [2023]
    Keywords : Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

    Abstract : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. READ MORE

  4. 3. LiDAR Perception in a Virtual Environment Using Deep Learning : A comparative study of state-of-the-art 3D object detection models on synthetic data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Samuel Skoog; [2023]
    Keywords : Object Detection; LiDAR; CARLA; Deep Learning; Autonomous Vehicles; Objektdetektering; LiDAR; CARLA; Djupinlärning; Autonoma fordon;

    Abstract : Perceiving the environment is a crucial aspect of autonomous vehicles. To plan the route, the autonomous vehicle needs to be able to detect objects such as cars and pedestrians. This is possible through 3D object detection. However, labeling this type of data is time-consuming. READ MORE

  5. 4. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Isaac Arnold McSey; [2023]
    Keywords : Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

    Abstract : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. READ MORE

  6. 5. Designing eHMI for trucks : How to convey the truck’s automated driving mode to pedestrians

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Dardan Dauti; [2021]
    Keywords : Automated driving; External HMI; Human-Machine interface; Autonomous trucks; Automated heavy vehicle; Pedestrian interactions; eHMI- design;

    Abstract : If automated vehicles are to be introduced on public roads, they need to be able to communicate appropriately with other road users. This can be done using various interfaces and by communicating various messages. Previous research has mainly investigated design of such communication for automated passenger cars. READ MORE