Essays about: "driving tasks"

Showing result 1 - 5 of 115 essays containing the words driving tasks.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. Evaluation of The Impact of Automated Driven Vehicles on Traffic Performance at Four-leg Signalized Intersections

    University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Author : Ahmed Osman; [2023]
    Keywords : Automated driven vehicles; Microscopic simulation; PTV VISSIM; Traffic performance; signalized intersection;

    Abstract : Intersections, particularly four-leg signalized intersections, are frequent sites of traffic congestion in urban areas. This congestion can lead to delays, increased travel time, and a negative impact on traffic performance and quality of life for people. READ MORE

  4. 3. Automated annotation scheme for extending bounding box representation to detect ship locations.

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Oksana Havryliuk; [2023]
    Keywords : ;

    Abstract : Bounding boxes often provide limited information about the shape and location of an object on an image. Their limitations lie in their reduced ability to correctly represent objects that have complex shapes or are located at an angle. READ MORE

  5. 4. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

    Author : Simon Ekman von Huth; [2023]
    Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

    Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

  6. 5. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets

    University essay from Umeå universitet/Institutionen för fysik

    Author : Philip Sandström; [2023]
    Keywords : ;

    Abstract : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. READ MORE