D7 Technology
D7 Technology
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Multi-static radar target tracking with ToA and Doppler measurements
Time-of-Arrival and Doppler measurement based multi-static radar plot fusion and target tracking. Plot fusion outputs are shown with green "X" and tracks as red "O".
มุมมอง: 30

วีดีโอ

ASV Test with Self-Localization Filtering
มุมมอง 472 หลายเดือนก่อน
Indoor ASV tests for self-localization using particle filter and LiDAR.
Underwater Glider Test
มุมมอง 1302 หลายเดือนก่อน
Autonomous underwater glider prototype test.
Surface Vehicle Ultra-Wide-Band Localisation
มุมมอง 113ปีที่แล้ว
Surface vehicle tracking using ultra-wide-band sensor, tested in Gazebo simulation environment. For more information or if you have any questions please send us an email: gtu.ste@gmail.com Music : Victory of Life, FWM
Autonomous Surface Vehicle Design & Implementation
มุมมอง 147ปีที่แล้ว
Surface vehicle design and implementation with Lidar, Camera, IMU sensors. Tested sub-systems: - Control algorithm successfully stabilized vehicle under wave circumstances, via to adjusting thruster's throttles seperately. - All ROS nodes tested in Gazebo and also real time. - Remote control tested successfully via wireless communication modules(instantaneous maneuvering, emergency stop) Please...
Autonomous Vehicle Parking in Gazebo Simulation Environment
มุมมอง 461ปีที่แล้ว
Autonomous vehicle use odometry data and calculate known map to park itself. ROS /Gazebo system used Music: Winter , Vivaldi. (RIP)
Self-Localisation for Indoor Autonomous Vacuum Cleaner
มุมมอง 132ปีที่แล้ว
Music: Spring, Vivaldi (RIP)
Emergency Lane Warning System for autonomous ground vehicle, tested in Gazebo with ROS
มุมมอง 97ปีที่แล้ว
Emergency lane warning system using image processing. System tested in Gazebo simulation environment and used robot operating system (ROS). Vehicle controlled manually in this scenario to test the whole road in city.
Autonomous ground vehicle simulation in Gazebo-ROS using Q-learning
มุมมอง 149ปีที่แล้ว
- Path planning done using Q-learning algorithm - Simulations run on Gazebo - Ground truth data used for self-localization - Speed control using PID
Autonomous ground vehicle simulation in Gazebo-ROS using A*
มุมมอง 484ปีที่แล้ว
- Path planning done using A* algorithm - Simulations run on Gazebo - Ground truth data used for self-localization - Speed control using PID

ความคิดเห็น

  • @orhankocak6196
    @orhankocak6196 ปีที่แล้ว

    Merhaba, bu projeyi paylaştığınız bir github linkiniz mevcut mu

  • @mostafaaymanamin5411
    @mostafaaymanamin5411 ปีที่แล้ว

    what is the purpose of the video without explanation?

  • @ahmetturanates2439
    @ahmetturanates2439 ปีที่แล้ว

    Çok değerli bir çalışma. Başarılarınızın devamını dilerim.

  • @emreparlak2729
    @emreparlak2729 ปีที่แล้ว

    I cant wait to watch this masterpiece. I am unable to do so right now, but i have fate in you since i know your previous works. It is safe to say that this design and study in general will be benefical for the great turkiye. Well done!

  • @unknownsoldier3394
    @unknownsoldier3394 ปีที่แล้ว

    My heartfelt congratulations to the entire team working in your lab. Seems like a massive team effort.

  • @unknownsoldier3394
    @unknownsoldier3394 ปีที่แล้ว

    I wish there was a guy in our laboratory too, who can manage to do things so meticulously. Great work totally.

  • @emreparlak2729
    @emreparlak2729 ปีที่แล้ว

    Astonishing work as always. This channel has immense potential, i am looking forward to your next horizon expanding project. I am in awe.

  • @emreparlak2729
    @emreparlak2729 ปีที่แล้ว

    Looks great. This is a groundbreaking development. Im hoping to see more great works from you guys

  • @emreparlak2729
    @emreparlak2729 ปีที่แล้ว

    Again with such a diligently engineered project that will help humanity improve greatly in these dire times

  • @unknownsoldier3394
    @unknownsoldier3394 ปีที่แล้ว

    Amazing! I truly love your channel. Keep doing the best work. Such creative videos you’ve on this channel. Just subscribed!

  • @emreparlak2729
    @emreparlak2729 ปีที่แล้ว

    Great video. Keep the quality content coming