Abdullah Enes Doruk
  • Bio
  • Papers
  • Projects
  • Experience
  • News
  • Publications
    • DAViMNet: SSMs-Based Domain Adaptive Object Detection
    • HSTR-Net: Reference Based Video Super-resolution with Dual Cameras
    • TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation
    • A Comparative Study for 6D Pose Estimation of Textureless And Symmetric Objects Used in Automotive Manufacturing Industry
    • Saw-yolov5: Scale-aware yolov5 for object detection in aerial images
  • News
  • Papers
  • Projects
  • Experience
  • Projects
    • Artificial Intelligence in Aviation Competition
    • Robotaxi Full-Scale Autonomous Vehicle
    • 6D Pose Estimation For Pick and Place via Synthetic Data
    • Unmanned Underwater Systems Competition

Robotaxi Full-Scale Autonomous Vehicle

Jul 15, 2021 · 1 min read
Go to Project Site

Fully autonomous system using LiDAR, cameras, and radar, integrated with ROS. We develop advanced perception, localization, and decision-making algorithms for safe navigation.

Last updated on Jul 15, 2021
Autunomous Vehicle
Abdullah Enes Doruk
Authors
Abdullah Enes Doruk
Master Student
← Artificial Intelligence in Aviation Competition Jul 21, 2022
6D Pose Estimation For Pick and Place via Synthetic Data Jun 15, 2021 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.