Safe driving envelopes for path tracking in autonomous vehicles
By Matthew Brown, Joseph Funke, Stephen M. Erlien, J. Christian Gerdes. 2017
331 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/4556ebc15aef8de083ac263fb1096d840ecf13c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Stephen M. Erlien
- Matthew Brown
- Joseph Funke
- Chuanyang Sun
- Chaoxian Wu
- Azim Eskandarian
- J. Christian Gerdes
- Francesco Borrelli
In Control and Systems Engineering
- Stephen M. Erlien
- Matthew Brown
- Joseph Funke
- Chuanyang Sun
- Chaoxian Wu
- Azim Eskandarian
- J. Christian Gerdes
- Filipe Wall Mutz
In Mechanical Engineering
Citations in the corpus
- Self-Driving Cars: A Survey (2019, methodology): “Kritayakirana and Gerdes [KRI12] present the control approach of an Audi TTS, in which a dynamic motion model of the car [BRO17] [LAU17] is used to enable path tracking at the limits of handling.”
- Collision Avoidance and Stabilization for Autonomous Vehicles in Emergency Scenarios (2017, background): “’s [14] subsequent path tracking controller with an autonomous trajectory tracking controller that follows desired speeds while deviating from desired paths to best meet collision avoidance and stabilization criteria.”
- Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, methodology): “Several methods that combine MPC with a linear model are designed to perform path tracking in [430], [440], [487], [490] presents an MPC path-tracking controller with a linear kinematic model to achieve desired performance during high-speed driving.”
- Data-Enabled Predictive Control: In the Shallows of the DeePC (2018, neutral): “include autonomous driving [9], autonomous flight [10],”