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 …
Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
Graph-based spatial-temporal convolutional network for vehicle trajectory prediction in autonomous driving
Forecasting the trajectories of neighbor vehicles is a crucial step for decision making and
motion planning of autonomous vehicles. This paper proposes a graph-based spatial …
motion planning of autonomous vehicles. This paper proposes a graph-based spatial …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
A survey of deep RL and IL for autonomous driving policy learning
Z Zhu, H Zhao - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …
Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method
Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …
centerline changes drastically. This paper is focused on the trajectory planning task for …
Model predictive control power management strategies for HEVs: A review
This paper presents a comprehensive review of power management strategy (PMS) utilized
in hybrid electric vehicles (HEVs) with an emphasis on model predictive control (MPC) …
in hybrid electric vehicles (HEVs) with an emphasis on model predictive control (MPC) …
Vehicle trajectory prediction by integrating physics-and maneuver-based approaches using interactive multiple models
Vehicle trajectory prediction helps automated vehicles and advanced driver-assistance
systems have a better understanding of traffic environment and perform tasks such as …
systems have a better understanding of traffic environment and perform tasks such as …
Control strategies on path tracking for autonomous vehicle: State of the art and future challenges
Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …