Open Access
Open access
volume 13101 LNAI pages 327-340

Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform

Publication typeBook Chapter
Publication date2021-12-06
scimago Q2
SJR0.352
CiteScore2.4
Impact factor
ISSN03029743, 16113349, 18612075, 18612083
Abstract
In safety-critical systems such as autonomous driving systems, behavior planning is a significant challenge. The presence of numerous dynamic obstacles makes the driving environment unpredictable. The planning algorithm should be safe, reactive, and adaptable to environmental changes. The paper presents an adaptive maneuver planning algorithm based on an evolving behavior tree created with genetic programming. In addition, we make a technical contribution to the Baidu Apollo autonomous driving platform, allowing the platform to test and develop overtaking maneuver planning algorithms.
Found 
Found 

Top-30

Journals

1
2
IEEE Robotics and Automation Letters
2 publications, 28.57%
Automation and Remote Control
1 publication, 14.29%
Lecture Notes in Networks and Systems
1 publication, 14.29%
IEEE Transactions on Intelligent Transportation Systems
1 publication, 14.29%
Advanced Engineering Informatics
1 publication, 14.29%
Autonomous Robots
1 publication, 14.29%
1
2

Publishers

1
2
3
Institute of Electrical and Electronics Engineers (IEEE)
3 publications, 42.86%
Springer Nature
2 publications, 28.57%
Pleiades Publishing
1 publication, 14.29%
Elsevier
1 publication, 14.29%
1
2
3
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
7
Share
Cite this
GOST |
Cite this
GOST Copy
Jamal M., Panov A. Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform // Lecture Notes in Computer Science. 2021. Vol. 13101 LNAI. pp. 327-340.
GOST all authors (up to 50) Copy
Jamal M., Panov A. Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform // Lecture Notes in Computer Science. 2021. Vol. 13101 LNAI. pp. 327-340.
RIS |
Cite this
RIS Copy
TY - GENERIC
DO - 10.1007/978-3-030-91100-3_26
UR - https://doi.org/10.1007/978-3-030-91100-3_26
TI - Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform
T2 - Lecture Notes in Computer Science
AU - Jamal, Mais
AU - Panov, Aleksandr
PY - 2021
DA - 2021/12/06
PB - Springer Nature
SP - 327-340
VL - 13101 LNAI
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2021_Jamal,
author = {Mais Jamal and Aleksandr Panov},
title = {Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform},
publisher = {Springer Nature},
year = {2021},
volume = {13101 LNAI},
pages = {327--340},
month = {dec}
}