How would surround vehicles move? a unified framework for maneuver classification and motion prediction

N Deo, A Rangesh, MM Trivedi - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Reliable prediction of surround vehicle motion is a critical requirement for path planning for
autonomous vehicles. In this paper, we propose a unified framework for surround vehicle …

Convolution neural network-based lane change intention prediction of surrounding vehicles for ACC

D Lee, YP Kwon, S McMains… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
Adaptive cruise control is one of the most widely used vehicle driver assistance systems.
However, uncertainty about drivers' lane change maneuvers in surrounding vehicles, such …

When will it change the lane? A probabilistic regression approach for rarely occurring events

J Schlechtriemen, F Wirthmueller… - 2015 IEEE Intelligent …, 2015 - ieeexplore.ieee.org
Understanding traffic situations in dynamic traffic environments is an essential requirement
for autonomous driving. The prediction of the current traffic scene into the future is one of the …

A taxonomy and review of algorithms for modeling and predicting human driver behavior

K Brown, K Driggs-Campbell… - arXiv preprint arXiv …, 2020 - arxiv.org
We present a review and taxonomy of 200 models from the literature on driver behavior
modeling. We begin by introducing a mathematical framework for describing the dynamics of …

Teaching vehicles to anticipate: A systematic study on probabilistic behavior prediction using large data sets

F Wirthmüller, J Schlechtriemen, J Hipp… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
By observing their environment as well as other traffic participants, humans are enabled to
drive road vehicles safely. Vehicle passengers, however, perceive a notable difference …

BiGRU based online multi-modal driving maneuvers and trajectory prediction

Y Zhi, Z Bao, S Zhang, R He - Proceedings of the institution …, 2021 - journals.sagepub.com
Accurately predicting maneuvers and trajectory of vehicles are essential prerequisites for
intelligent systems such as autonomous vehicles to achieve safe and high-quality decision …

Autonomous vehicles' intended cooperative motion planning for unprotected turning at intersections

D Zhou, Z Ma, X Zhang, J Sun - IET Intelligent Transport …, 2022 - Wiley Online Library
Turning behaviour is one of the most challenging driving manoeuvres that take place at
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …

Research on vehicle trajectory prediction methods in urban main road scenarios

S Zhang, R Bai, R He, Z Meng, Y Chang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the autonomous driving realm, it is crucial to accurately predict the trajectory of other traffic
vehicles around an autonomous vehicle. This paper proposes a novel scheme to predict the …

Wiggling through complex traffic: Planning trajectories constrained by predictions

J Schlechtriemen, KP Wabersich… - 2016 IEEE Intelligent …, 2016 - ieeexplore.ieee.org
The vision of autonomous driving is piecewise becoming reality. Still the problem of
executing the driving task in a safe and comfortable way in all possible environments, for …

Generic vehicle tracking framework capable of handling occlusions based on modified mixture particle filter

J Li, W Zhan, M Tomizuka - 2018 IEEE Intelligent Vehicles …, 2018 - ieeexplore.ieee.org
Accurate and robust tracking of surrounding road participants plays an important role in
autonomous driving. However, there is usually no prior knowledge of the number of tracking …