Stochastic MPC with Situation-Aware Dynamic Risk Assessment for Autonomous Driving
Author:
Affiliation:
1. University of Kaiserslautern-Landau,Kaiserslautern,Germany
2. Fraunhofer Institute for Experimental Software Engineering IESE,Kaiserslautern,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421964.pdf?arnumber=10421964
Reference36 articles.
1. Towards a Software Component to Perform Situation-Aware Dynamic Risk Assessment for Autonomous Vehicles
2. SINADRA: Towards a Framework for Assurable Situation-Aware Dynamic Risk Assessment of Autonomous Vehicles
3. Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following
4. Energy-Optimal Adaptive Cruise Control for Electric Vehicles Based on Linear and Nonlinear Model Predictive Control
5. Ecological Adaptive Cruise Control for City Buses based on Hybrid Model Predictive Control using PnG and Traffic Light Information
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