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 …
Autonomous cars: Research results, issues, and future challenges
R Hussain, S Zeadally - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
A survey on trajectory-prediction methods for autonomous driving
In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
[HTML][HTML] A survey on motion prediction and risk assessment for intelligent vehicles
With the objective to improve road safety, the automotive industry is moving toward more
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
Naturalistic driver intention and path prediction using recurrent neural networks
Understanding the intentions of drivers at intersections is a critical component for
autonomous vehicles. Urban intersections that do not have traffic signals are a common …
autonomous vehicles. Urban intersections that do not have traffic signals are a common …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Scenario-based test automation for highly automated vehicles: A review and paving the way for systematic safety assurance
Highly Automated Vehicles (HAVs) must undergo strict safety testing before being released
to the public. Mileage-based on-road testing suffers from unaffordable time costs and high …
to the public. Mileage-based on-road testing suffers from unaffordable time costs and high …
Simnet: Learning reactive self-driving simulations from real-world observations
In this work we present a simple end-to-end trainable machine learning system capable of
realistically simulating driving experiences. This can be used for verification of self-driving …
realistically simulating driving experiences. This can be used for verification of self-driving …
Optimal trajectories for time-critical street scenarios using discretized terminal manifolds
M Werling, S Kammel, J Ziegler… - … International Journal of …, 2012 - journals.sagepub.com
This paper deals with the trajectory generation problem faced by an autonomous vehicle in
moving traffic. Being given the predicted motion of the traffic flow, the proposed semi …
moving traffic. Being given the predicted motion of the traffic flow, the proposed semi …
Long short term memory for driver intent prediction
Advanced Driver Assistance Systems have been shown to greatly improve road safety.
However, existing systems are typically reactive with an inability to understand complex …
However, existing systems are typically reactive with an inability to understand complex …