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 …
Epsilon: An efficient planning system for automated vehicles in highly interactive environments
In this article, we present an efficient planning system for automated vehicles in highly
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
汽车自动驾驶关键技术研究进展.
彭育辉， 江铭， 马中原， 钟聪 - Journal of Fuzhou University, 2021 - search.ebscohost.com
人工智能和新一代信息技术的快速发展正推动汽车产品的智能化与网联化, 以革命性的变化推动
未来人们交通出行的变革. 当前, 在技术发展和产业探索实践的综合推动下, 汽车自动驾驶成为现 …
未来人们交通出行的变革. 当前, 在技术发展和产业探索实践的综合推动下, 汽车自动驾驶成为现 …
Trajectory prediction-based local spatio-temporal navigation map for autonomous driving in dynamic highway environments
M Fu, T Zhang, W Song, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous driving, including intelligent decision-making and path planning, in dynamic
environments (like highway) is significantly more difficult than the navigation in static …
environments (like highway) is significantly more difficult than the navigation in static …
A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving
T Zhang, W Song, M Fu, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent decision making and efficient trajectory planning are closely related in
autonomous driving technology, especially in highway environment full of dynamic …
autonomous driving technology, especially in highway environment full of dynamic …
Multi-agent driving behavior prediction across different scenarios with self-supervised domain knowledge
How to make precise multi-agent trajectory prediction is a crucial problem in the context of
autonomous driving. It is significant to have the ability to predict surrounding road …
autonomous driving. It is significant to have the ability to predict surrounding road …
Cooperation-aware decision making for autonomous vehicles in merge scenarios
Highway merging is a challenging task for an autonomous vehicle, because the vehicle
must interact with other vehicles to identify a gap to merge into before the ending of current …
must interact with other vehicles to identify a gap to merge into before the ending of current …
Dual extended Kalman filter based state and parameter estimator for model-based control in autonomous vehicles
To enable effective model-based control for autonomous vehicles, accurate vehicle states
and model parameters are required. Most of the state estimation and model-based control …
and model parameters are required. Most of the state estimation and model-based control …
On-road motion planning for automated vehicles at ulm university
MJ Graf, OM Speidel, JO Ruof… - IEEE Intelligent …, 2021 - ieeexplore.ieee.org
The Institute of Measurement, Control, and Microtechnology at Ulm University has
investigated advanced driver assistance systems for decades and concentrated, in large …
investigated advanced driver assistance systems for decades and concentrated, in large …
[图书][B] Probabilistic motion planning for automated vehicles
M Naumann - 2021 - library.oapen.org
In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to
facilitate safe and convenient driving behavior. This work presents three motion planning …
facilitate safe and convenient driving behavior. This work presents three motion planning …