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* lat_mpc: make v_ego, rotation_radius parameters instead of states * lat_mpc: remove rotation_radius argument, since it is part of the parameters * lat_mpc: use qp_solver_cond_N = 1 slightly faster and in line with case study in Fig. 2/ 3 in Frison2016 - https://cdn.syscop.de/publications/Frison2016.pdf An Efficient Implementation of Partial Condensing for Nonlinear Model Predictive Control * adapt test_lateral_mpc to formulation with parameters * lat_mpc: set parameters in reset() and copy values * acados_ocp_solver_pyx: make options_set useable * update ref Co-authored-by: Willem Melching <willem.melching@gmail.com>
process replay
Process replay is a regression test designed to identify any changes in the output of a process. This test replays a segment through individual processes and compares the output to a known good replay. Each make is represented in the test with a segment.
If the test fails, make sure that you didn't unintentionally change anything. If there are intentional changes, the reference logs will be updated.
Use test_processes.py to run the test locally.
Currently the following processes are tested:
- controlsd
- radard
- plannerd
- calibrationd
- ubloxd
Forks
openpilot forks can use this test with their own reference logs
To generate new logs:
./update_refs.py --no-upload
Then, check in the new logs using git-lfs. Make sure to also include the updated ref_commit file.