TY - GEN
T1 - Artificial Intelligence-Based Trajectory Planning for Driverless Vehicles—A Review
AU - Menon, Aathira G.
AU - Bindu, S.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - One of the hurdles in implementing self-driving automobiles is their precise decision-making in uncertain traffic conditions. The paper reviews various Artificial Intelligence-based trajectory planning algorithms addressing this issue. The review focuses on lane changing, trajectory selection, and safety to model a Level-5 autonomous vehicle. The prominent algorithms are discussed in terms of their features, status, and scope. The algorithms are analysed in the increasing order of levels of automation. As the trajectory planning algorithm mimics human intelligence, it is more probable to develop the characteristics of a trustworthy self-driving vehicle capable of making accurate decisions in extreme road or traffic circumstances. In addition to the major traffic elements, pedestrian interaction, vehicle dynamics, and the usage of an adaptive controller can ensure more promising results to achieve safe lane changing/selection.
AB - One of the hurdles in implementing self-driving automobiles is their precise decision-making in uncertain traffic conditions. The paper reviews various Artificial Intelligence-based trajectory planning algorithms addressing this issue. The review focuses on lane changing, trajectory selection, and safety to model a Level-5 autonomous vehicle. The prominent algorithms are discussed in terms of their features, status, and scope. The algorithms are analysed in the increasing order of levels of automation. As the trajectory planning algorithm mimics human intelligence, it is more probable to develop the characteristics of a trustworthy self-driving vehicle capable of making accurate decisions in extreme road or traffic circumstances. In addition to the major traffic elements, pedestrian interaction, vehicle dynamics, and the usage of an adaptive controller can ensure more promising results to achieve safe lane changing/selection.
UR - http://www.scopus.com/inward/record.url?scp=85135872838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135872838&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-2091-2_14
DO - 10.1007/978-981-19-2091-2_14
M3 - Conference contribution
AN - SCOPUS:85135872838
SN - 9789811920929
T3 - Lecture Notes in Mechanical Engineering
SP - 167
EP - 183
BT - Recent Advances in Hybrid and Electric Automotive Technologies - Select Proceedings of HEAT 2021
A2 - Krishna, V.
A2 - Seetharamu, K.N.
A2 - Joshi, Yogendra Kumar
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st Biennial International Conference on Hybrid and Electric Automotive Technologies, HEAT 2021
Y2 - 29 October 2021 through 30 October 2021
ER -