Information and Computation
IEICE - Transactions on Information and Systems
Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
IEEE Transactions on Intelligent Transportation Systems
Fuzzy Fusion of Eyelid Activity Indicators for Hypovigilance-Related Accident Prediction
IEEE Transactions on Intelligent Transportation Systems
Identification of driver state for lane-keeping tasks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Intelligent Transportation Systems
A situation-adaptive lane-keeping support system: overview of the SAFELANE approach
IEEE Transactions on Intelligent Transportation Systems
Driving safety monitoring using semisupervised learning on time series data
IEEE Transactions on Intelligent Transportation Systems
A pattern-recognition approach for driving skill characterization
IEEE Transactions on Intelligent Transportation Systems
A fuzzy aid rear-end collision warning/avoidance system
Expert Systems with Applications: An International Journal
Formal verification of service-oriented adaptive driver assistance systems
ACM SIGBED Review - Special Issue on the 5th Workshop on Adaptive and Reconfigurable Embedded Systems
Hi-index | 0.00 |
This paper presents the design and the practical implementation of vehicle steering assistance that helps the driver avoid unintended lane departure. A switching strategy is built to govern the driver-assistance interaction, and the resulting hybrid system is formalized as an input/output (I/O) hybrid automaton. Composite Lyapunov functions, polyhedral-like invariant sets, and linear matrix inequality (LMI) methods constitute the heart of the approach used to design the lane-departure avoidance (LDA) system. The practical implementation of this steering assistance in a prototype vehicle confirms the effectiveness of this approach.