* 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>
old-commit-hash: 06814748409bd8538edca1b2bcef66f15e1c3ab6
* acados long
* new ref
* SPPEEEEEDDD
* less iterations
* this shouldn't be so high
* reset only essentials
* minimal reset for long mpc
* more cpu usage plannerd
* Use lead mpc even when going to crash
* reset to current state
* Use open loop speed for lead mpc
* 1 iteration is too little for cruise mpc
* add whitespace
* update refs
old-commit-hash: 66c275b71128355d634d4daf0f5c18891d4fb047
Jonathan Frey