A review of motion planning for highway autonomous driving
L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …
that they will sell their driving automation modes in the 2020s. This technology raises …
Planning and decision-making for autonomous vehicles
W Schwarting, J Alonso-Mora… - Annual Review of Control …, 2018 - annualreviews.org
In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
Partially observable markov decision processes in robotics: A survey
Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
Convolutional social pooling for vehicle trajectory prediction
N Deo, MM Trivedi - Proceedings of the IEEE conference on …, 2018 - openaccess.thecvf.com
Forecasting the motion of surrounding vehicles is a critical ability for an autonomous vehicle
deployed in complex traffic. Motion of all vehicles in a scene is governed by the traffic …
deployed in complex traffic. Motion of all vehicles in a scene is governed by the traffic …
Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms
N Deo, MM Trivedi - 2018 IEEE intelligent vehicles symposium …, 2018 - ieeexplore.ieee.org
To safely and efficiently navigate through complex traffic scenarios, autonomous vehicles
need to have the ability to predict the future motion of surrounding vehicles. Multiple …
need to have the ability to predict the future motion of surrounding vehicles. Multiple …
How would surround vehicles move? a unified framework for maneuver classification and motion prediction
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 …
autonomous vehicles. In this paper, we propose a unified framework for surround vehicle …
Combining planning and deep reinforcement learning in tactical decision making for autonomous driving
Tactical decision making for autonomous driving is challenging due to the diversity of
environments, the uncertainty in the sensor information, and the complex interaction with …
environments, the uncertainty in the sensor information, and the complex interaction with …
Automated speed and lane change decision making using deep reinforcement learning
This paper introduces a method, based on deep reinforcement learning, for automatically
generating a general purpose decision making function. A Deep Q-Network agent was …
generating a general purpose decision making function. A Deep Q-Network agent was …
Trajectory planning and tracking for autonomous overtaking: State-of-the-art and future prospects
Trajectory planning and trajectory tracking constitute two important functions of an
autonomous overtaking system and a variety of strategies have been proposed in the …
autonomous overtaking system and a variety of strategies have been proposed in the …
Trajectory planning for autonomous high-speed overtaking in structured environments using robust MPC
Automated vehicles are increasingly getting main-streamed and this has pushed
development of systems for autonomous manoeuvring (eg, lane-change, merge, and …
development of systems for autonomous manoeuvring (eg, lane-change, merge, and …