Constraint-based planning and control for safe, semi-autonomous operation of vehicles
By S. J. Anderson, Sisir Karumanchi, K. Iagnemma. 2012
126 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering
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
- Jacob Lambert
- Alexander Carballo
- Matthew R. Walter
- Charles B. Schaff
- Ekim Yurtsever
- Stephen M. Erlien
- Kazuya Takeda
- J. Christian Gerdes
In Computer Vision and Pattern Recognition
- Ekim Yurtsever
- Alexander Carballo
- Jacob Lambert
- J. Christian Gerdes
- Kazuya Takeda
- Matthew R. Walter
- Stephen M. Erlien
- Susumu Fujita
In Industrial and Manufacturing Engineering
Citations in the corpus
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “g, a safety constraint [72] can be implemented on top of a sophisticated planning module to force some hardcoded emergency rules without modifying the inner workings of the planner.”
- Residual Policy Learning for Shared Autonomy (2020, methodology): “In an effort to provide the user with more control, other methods seek to minimally augment user control to satisfy particular conditions (e.g., collision-avoidance) [11, 13, 20, 28] or to obey constraints [1, 6, 7, 18, 31, 46].”
- Shared Steering Control Using Safe Envelopes for Obstacle Avoidance and Vehicle Stability (2016, methodology): “use such a constraint-based, pathless MPC approach to share control of teleoperated ground vehicles so that the controller’s influence on the final command increases with the severity of the predicted maneuver [7].”