Thinklab-SJTU / Thinklab-SJTU/Bench2Drive
About your comfortness script
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- Python
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Description
Dear authors,
In your comfortness script you imposed several hardcoded values
# (1) ego_jerk_metric,
max_abs_mag_jerk = 8.37 # [m/s^3]
# (2) ego_lat_acceleration_metric
max_abs_lat_accel = 4.89 # [m/s^2]
# (3) ego_lon_acceleration_metric
max_lon_accel = 2.40 # [m/s^2]
min_lon_accel = -4.05
# (4) ego_yaw_acceleration_metric
max_abs_yaw_accel = 1.93 # [rad/s^2]
# (5) ego_lon_jerk_metric
max_abs_lon_jerk = 4.13 # [m/s^3]
# (6) ego_yaw_rate_metric
max_abs_yaw_rate = 0.95 # [rad/s]
How did you obtain them?
Kind regards,
JD.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with tools/efficiency_smoothness_benchmark.py and inspect the six hardcoded comfortness thresholds named in the issue. Trace whether the repository identifies their source or rationale. Done means documenting how each value was obtained, or clearly stating that the repository does not provide that information.
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Assessment
- Tech stack
- python
- Domain
- autonomous-driving
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100