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inndrplz/self-driving-car (press backspace or delete to remove)

In project_4_advanced_lane_finding, it shows the blue line is for the dashed lane and the red line is for the solid lane. Is the code able to distinguish between the dashed and solid street lanes ????? ...
  • kroom007
  • Opened 
    on Dec 25, 2023
  • #41

I am trying to run all the components of the repository but quite a few of them don t have a dataset
  • Soham0979
  • Opened 
    on Mar 1, 2023
  • #39

Hi, Thank you for sharing this wonderful repo! Just one question: will the lane-detection work the same when the vehicle is lane-changing? how can the left and right lane be detected? Also, if the road ...
  • Rayne-1020PU
  • Opened 
    on Feb 17, 2023
  • #38

Try to run project 3 on ubuntu18: python3 drive.py got error: SystemError: Unknown opcode seems it is python version mismatch, ubuntu 18 is python3.6, what version of python do you use to train the model? ...
  • gms2009
  • Opened 
    on Feb 8, 2022
  • #36

  • maiergamer6
  • Opened 
    on Nov 22, 2021
  • #35

We know its easier to evaluate or simulate in the environment of Python, but I feel it can be also rewritten and implemented by C++.
  • manman25
  • 2
  • Opened 
    on Nov 16, 2021
  • #34

Hello, I cannot find the exact detail to make sure we have a fix-time loop when computing future road points in Project 11 (Path Planning). Could you please tell me where the detail is. Thank you!
  • bryanibit
  • Opened 
    on Nov 30, 2020
  • #31

def draw_back_onto_the_road(img_undistorted, Minv, line_lt, line_rt, keep_state): height, width, _ = img_undistorted.shape left_fit = line_lt.average_fit if keep_state else line_lt.last_fit_pixel ...
  • vighc
  • 1
  • Opened 
    on Aug 29, 2020
  • #28

VPGNet dataset is available. It contains around 21K images with human-annotated lane, road markings, and vanishing point labels. For more details, please check our project page.
  • SeokjuLee
  • 1
  • Opened 
    on Mar 20, 2020
  • #26

  • WestbrookZero
  • Opened 
    on Jul 25, 2019
  • #24
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