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Longitudinal Model Predictive Control with comfortable speed planner
2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
Guaranteeing simplicity and safety is a real challenge of Advanced Driver Assistance Systems (ADAS), being these aspects necessary for the development of decision and control stages in highly automated vehicles. Considering that a human-centered design is generally pursued, exploring comfort boundaries in passenger vehicles has a significant importance. This work aims to implement a simple Model Predictive Control (MPC) for longitudinal maneuvers, considering a bare speed planner based on thedoi:10.1109/icarsc.2018.8374161 dblp:conf/icarsc/MatuteMZP18 fatcat:lhmcatahh5c6zjvi4s5r4li4tm