Speed up Motion Prediction by simultaneous and parallel execution of Motion Prediction instances.
Proper motion predictions are necessary to perform to assure safe transports with commercial heavy vehicle combinations with high productivity. The vehicle motion mgmt (VMM) needs to do motion estimation, motion prediction and motion coordination of the Motion Support Devices (MSD), see Fig 1. In motion prediction, the future motion of 1 s horizon is predicted in with current automated or manual driver inputs. These inputs can either be predicted to change or kept constant during the predictions. Multiple parallel predictions are foreseen conducted to avoid to reach the control envelope. This to avoid severe situations such as roll over, see Fig 2, understeer, oversteer, jack-knife, or trailer swingout. If the motion prediction is foreseeing a roll-over or understeer situation in the next prediction horizon. The vehicle longitudinal velocity (vx,max) capability and acceleration capability (ax,max) to the Traffic Situation Mgmt (TSM) is limited before the event occurs.
Fig. 1. Vehicle Motion Mgmt, schematic figure of system layout.
Fig. 2. Roll over lateral force limit usage on a tractor semitrailer combination.
The purpose of this master thesis contains three parts:
1. Set up parallel motion predictions in python and c++.
2. Investigate target specific parallelization strategies.
3. Deploy parallelized motion prediction models in the target environment.
3. Test in physical tractor semitrailer, especially avoid understeer, oversteer, jack-knife, and swing out in winter conditions (winter testing also conducted in simulations).
The thesis work will include control theory, vehicle dynamics, optimization and will also include SW design to take advantage of computer architecture of the specified target. The work will be carried out at Volvo Group Trucks Technology. The thesis is recommended for one or two students with control analysis, Embedded SW development profile with good mathematical skills. Thesis start: Jan 2022.
If you find this proposal interesting send your application with CV and grades to:
Leo Laine – Volvo GTT
tel: +46 31 323 5311
tel: +46 739027057
tel: +46 31 772 38 93
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