Modelling and Control Strategies in Path Tracking Control for Autonomous Ground Vehicles: A Review of State of the Art and Challenges

By N. H. Amer, Hairi Zamzuri, K. Hudha, Zulkiffli Abdul Kadir. J. Intell. Robotic Syst., 2017

355 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/a0b8d8763967c0f3a63df1107601bce69613db13

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

1. Chuanyang Sun
2. Azim Eskandarian
3. Chaoxian Wu

In Computer Vision and Pattern Recognition

1. Jason Mars
2. Chuanyang Sun
3. Lingjia Tang
4. Azim Eskandarian
5. Chaoxian Wu

In Control and Systems Engineering

1. Chuanyang Sun
2. Azim Eskandarian
3. Chaoxian Wu

Citations in the corpus

• Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “Finally, to follow the desired trajectory, the control layer calculates the appropriate command to control the actuators (e.g. steering wheel, gas pedal, brake pedal, etc.) in the vehicle [52].”
• The Architectural Implications of Autonomous Driving: Constraints and Acceleration (2018, background): “present a review of the stateof-the-art algorithmic components used for path tracking in autonomous driving systems [2].”