Hi, thank you for your great work.

I was wondering which code can be used to extract maneuvers as mentioned in the paper (Krajewski et al., 2018).
I looked through the available scripts but couldn't locate this one.

Thank you very much for your time

please help me,
i need longitude and latitude of data collected locations according to location id(highD data set)
https://www.highd-dataset.com/static/img/location.6a3874e.png

I tried to run the main.py and the visualization result is shown above (a blank picture).

It sames dosen't capture the key part of the whole picture.

I tried to scroll down heavily and the gray lane appeared gradually but I still didn't see any vehicles by now.

So, it is there any good suggestions to handle this situation?

My matplotlib is 3.3.2

According to the Quickstart guide, running the function args = create_args() in main.py should create dictionary entries (in the args dictionary) for 'folder_name' and 'video_name' , but it does not. Note that I pulled a few hours ago.

After the program runs, the button on the screen clicks and does not respond

I am writing this email with respect to an anomaly that I observed in the ExiD dataset. Sorry to raise this issue in the HighD repo.

Issue:
The width and length columns in files xx_tracksMeta.csv and xx_tracks.csv are not matching for the same recordingId and trackId.

Can you please clarify which values are correct?

I also tried to connect to the regarding this through email, but the email address is not working.

Hi all,

I just started using the tool. While executing main.py, I got the follolwing error:

$python '/home/thomas.huang/Desktop/highD Dataset/src/main.py'

Traceback (most recent call last):
File "/home/****/Desktop/highD Dataset/src/main.py", line 6, in
from data_management.read_csv import *
ImportError: No module named data_management.read_csv

It will be greatly appreciated if anyone can fix this. Thanks.

Hi!

When i run the main.py i get the following error:

self.maximum_frames = self.static_info[(last_track[TRACK_ID])][FINAL_FRAME] - 1

TypeError: unhashable type: 'numpy.ndarray'

Any fix?

Thanks!

After changing The paths of three files（01_recordingMeta.csv，01_tracks.csv，01_tracksMeta.csv）, running mian.py keeps a message indicating that The static info file is either missing or contains incorrect characters.

Wanna analyze the lane change trajectory,
How to filter the lane change maneuver data like the paper?
it's hard to understand the laneID and lanemarks.

Hello,

I am wondering how do you calculate the TTC in the dataset? I was assuming that
TTC = dhw/(xVelocity - precedingXVelocity); where TTC is time-to-collision, dhw is the distance headway, xVelocity is the ego vehicle's velocity, and precedingXVelocity is the preceding vehicle's velocity.

However, when I check it with the data, it was not correct. Therefore, I am wondering how do you calculate TTC in the dataset?

Please see the examples below.

Example from dataset_01

Case 1: vehicle id 2 is following vehicle id 13, here are the parameters in "track_data" of the vehicle id 2:

dhw = 112.62
ttc = -17.38
thw = 3.51
precedingXVelocity= -38.53
xVelocity = -32.06

If we follow the equation above. TTC should be equal to 112.62/(32.06-38.53) = 112.62/-6.47 = -17.40
(I think minus sign here indicate driving direction so I will ignore it for now)

Case 2: vehicle id 8 is following vehicle id 2, here are the parameters in "track_data" of the vehicle id 8:

thw = 2.29
dhw = 72.05
ttc = -104.67
precedingXVelocity = -32.04
xVelocity = -31.36

If we follow the equation above. TTC should be equal to 72.05/(31.36-32.04) = 72.05/-0.68 = -105.95

As said in the title, the last track is no displayed when using the python version.
In the default dataset (01_tracks.csv) the last truck (ID:1047) is never displayed.

Steps to reproduce

• run 'python main.py'
• jump to last frame using the interface
• open 01_tracksMeta.csv and skip to the last line to get the ID missing

It seems that the visualization part compute a wrong index for the tracks to be displayed.
Adding to this, using a CSV with only one track raise a out of index error.