Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
Hierarchical interpretable imitation learning for end-to-end autonomous driving
End-to-end autonomous driving provides a simple and efficient framework for autonomous
driving systems, which can directly obtain control commands from raw perception data …
driving systems, which can directly obtain control commands from raw perception data …
A motion planning and tracking framework for autonomous vehicles based on artificial potential field elaborated resistance network approach
This paper presents a novel motion planning and tracking framework for automated vehicles
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …
Multi-robot path planning method using reinforcement learning
H Bae, G Kim, J Kim, D Qian, S Lee - Applied sciences, 2019 - mdpi.com
This paper proposes a noble multi-robot path planning algorithm using Deep q learning
combined with CNN (Convolution Neural Network) algorithm. In conventional path planning …
combined with CNN (Convolution Neural Network) algorithm. In conventional path planning …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Pedestrian motion trajectory prediction in intelligent driving from far shot first-person perspective video
Y Cai, L Dai, H Wang, L Chen, Y Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Pedestrian motion trajectory prediction is an important task in intelligent driving, and it can
provide a valuable reference for the subsequent path decision of intelligent driving …
provide a valuable reference for the subsequent path decision of intelligent driving …
Convolutional neural network-based lane-change strategy via motion image representation for automated and connected vehicles
The lane-change decision-making module of automated and connected vehicles (ACVs) is
one of the most crucial and challenging issues to be addressed. Motivated by human beings' …
one of the most crucial and challenging issues to be addressed. Motivated by human beings' …
Emergency steering control of autonomous vehicle for collision avoidance and stabilisation
Collision avoidance and stabilisation are two of the most crucial concerns when an
autonomous vehicle finds itself in emergency situations, which usually occur in a short time …
autonomous vehicle finds itself in emergency situations, which usually occur in a short time …
A Fast and Efficient Double-Tree RRT-Like Sampling-Based Planner Applying on Mobile Robotic Systems
As a variant of rapidly exploring random tree (RRT), RRT* is an important improvement of
sampling-based algorithms. Although it can provide a feasible planning solution with a …
sampling-based algorithms. Although it can provide a feasible planning solution with a …