Collision Avoidance and Stabilization for Autonomous Vehicles in Emergency Scenarios

By Joseph Funke, Matthew Brown, Stephen M. Erlien, J. Christian Gerdes. IEEE Transactions on Control Systems Technology, 2017

402 citations recorded by the source corpus.

How researchers see this paper

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Computing Systems for Autonomous Driving: State of the Art and Challenges (2020, background): “[227] is proposed to determine the minimum distance at which obstacles cannot be avoided at a given speed.”
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing (2022, background): “In [61] a planner is presented that is capable of mediating between conflicting objectives when performing collision”
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction (2017, background): “, emergency collision avoidance systems [12]) that must operate on the order of milliseconds.”
Optimization-Based Collision Avoidance (2017, methodology): “Optimization-based trajectory planning algorithms such as Model Predictive Control (MPC) have received signiﬁcant attention recently, ranging from (unmanned) aircraft to robots to autonomous cars [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12].”