Vehicle dynamics and control

By Rajesh Rajamani. 2005

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “Primitive driver assistance systems such as adaptive cruise control, anti-lock braking systems and stability control start with level one [32].”
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning (2017, methodology): “Regarding to the kinematics feasibility, Bicycle model [15] is adopted, which means that the decision variables (states and control variables) have to satisfy the deﬁned manifold within the horizon, i.e., for k =0 , and x p 0 = x t , y p 0 = y t , θ p 0 = θ t , V p 0 = V t .”
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (2016, background): “CONTENTS I Introduction 2”
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention (2017, methodology): “The relationship between the inverse turning radius ut and the steering angle command θt can be approximated by Ackermann steering geometry [22] as follows:”
Development and Experimental Evaluation of a Slip Angle Estimator for Vehicle Stability Control (2009, background): “V EHICLE stability control systems that prevent vehicles from spinning, drifting out, and rolling over have been developed and recently commercialized by several automotive manufacturers [1]–[3].”
Modeling and Nonlinear Adaptive Control for Autonomous Vehicle Overtaking (2014, background): “For low speed motion (for speeds less than 5m/s, [13]), which is often the case of automated vehicles, a reasonable assumption is that the slip angles of the wheels are zero.”
Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework (2016, unknown): “In this example, we add a known saturation limit on the acceleration in order to simulate the behavior of the friction circle [23], [24].”
Platooning With IVC-Enabled Autonomous Vehicles: Strategies to Mitigate Communication Delays, Improve Safety and Traffic Flow (2012, background): “Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org.”
Optimization-Based Collision Avoidance (2017, methodology): “This is a common approach in vehicle pathfollowing [57], and the implementation details are provided in the Appendix.”
A decentralized energy-optimal control framework for connected automated vehicles at signal-free intersections (2016, background): “(t) = p k(t) p i(t) >;8t2[t0 i ;t f i ], k2L i(t) (4) 3 where tf i is the time that CAV i2N(t) exits the MZ. The rear-end safety constraint is usually expressed in terms of the allowable headway [Rajamani (2012)], i.e., a time gap that is a function of speed. However, since we consider urban inte”
End-to-End Autonomous Driving: Challenges and Frontiers (2023, unknown): “However, this approach provides limited information, and its effectiveness and validity are difﬁcult to evaluate.”
Combined AFS and DYC Control of Four-Wheel-Independent-Drive Electric Vehicles over CAN Network with Time-Varying Delays (2014, background): “One is directly determined by the driver from her/his steering wheel angle input, and the other is decided by the steer-by-wire controller [29].”