Abstract
In recent years autonomous vehicle is becoming active research area. One of the most important feature of autonomous vehicle is lane-change without driver assistance and its important part of level 2 autonomy. Wrong maneuver can lead to serious accidents on highways. Lane-change of autonomous vehicle is challenging control problem and various techniques like model predictive control, cooperative lane change, geographical information system have been used in past to get lane-change maneuver. Lane-change problem can be divided into trajectory planning and trajectory control. The current work addresses lane change of autonomous vehicle by generating trajectory with quintic polynomial and controlling it with the help of controller(PID). Two cases are discussed for lane change; considering previous vehicle and without previous vehicle. Collision prevention technique is used in case of previous vehicle to avoid collision. Results obtained shows the feasible trajectory for smooth lane change in both cases. Collision prevention technique shows how collision can be avoided in case of previous vehicle.
| Original language | English |
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| Title of host publication | 2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 331-335 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728133263 |
| DOIs | |
| State | Published - Apr 2019 |
| Externally published | Yes |
| Event | 5th International Conference on Control, Automation and Robotics, ICCAR 2019 - Beijing, China Duration: 19 Apr 2019 → 22 Apr 2019 |
Publication series
| Name | 2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019 |
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Conference
| Conference | 5th International Conference on Control, Automation and Robotics, ICCAR 2019 |
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| Country/Territory | China |
| City | Beijing |
| Period | 19/04/19 → 22/04/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- collision prevention
- lane-change
- trajectory control
- trajectory planning
ASJC Scopus subject areas
- Mechanical Engineering
- Control and Optimization
- Artificial Intelligence
- Control and Systems Engineering