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 …
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
As autonomous driving systems mature, motion forecasting has received increasing
attention as a critical requirement for planning. Of particular importance are interactive …
attention as a critical requirement for planning. Of particular importance are interactive …
Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …
problems in autonomous driving. Applying deep learning to this problem requires fusing …
Learning to predict vehicle trajectories with model-based planning
Predicting the future trajectories of on-road vehicles is critical for autonomous driving. In this
paper, we introduce a novel prediction framework called PRIME, which stands for Prediction …
paper, we introduce a novel prediction framework called PRIME, which stands for Prediction …
What-if motion prediction for autonomous driving
Forecasting the long-term future motion of road actors is a core challenge to the deployment
of safe autonomous vehicles (AVs). Viable solutions must account for both the static …
of safe autonomous vehicles (AVs). Viable solutions must account for both the static …
Use of social interaction and intention to improve motion prediction within automated vehicle framework: A review
DE Benrachou, S Glaser, M Elhenawy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …
causalities, vehicle damages and a predicament in the pathway to safer road systems …
Behavior prediction of traffic actors for intelligent vehicle using artificial intelligence techniques: A review
Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
Rethinking imitation-based planners for autonomous driving
In recent years, imitation-based driving planners have reported considerable success.
However, due to the absence of a standardized benchmark, the effectiveness of various …
However, due to the absence of a standardized benchmark, the effectiveness of various …
Towards capturing the temporal dynamics for trajectory prediction: a coarse-to-fine approach
Trajectory prediction is one of the basic tasks in the autonomous driving field, which aims to
predict the future position of other agents around the ego vehicle so that a safe yet efficient …
predict the future position of other agents around the ego vehicle so that a safe yet efficient …
Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies
In this paper we present the first safe system for full control of self-driving vehicles trained
from human demonstrations and deployed in challenging, real-world, urban environments …
from human demonstrations and deployed in challenging, real-world, urban environments …