Generic prediction architecture considering both rational and irrational driving behaviors
Accurately predicting future behaviors of surrounding vehicles is an essential capability for
autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of others …
autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of others …
A hierarchical vehicle behavior prediction framework with traffic signals and interactive agents
Vehicle behavior prediction in complex urban scenarios with traffic signals and interactive
agents is an important yet complicated task for autonomous vehicles (AVs). In this work, a …
agents is an important yet complicated task for autonomous vehicles (AVs). In this work, a …
Recup net: Recursive prediction network for surrounding vehicle trajectory prediction with future trajectory feedback
In order to predict the behavior of human drivers accurately, the autonomous vehicle should
be able to understand the reasoning and decision process of motion generation of human …
be able to understand the reasoning and decision process of motion generation of human …
Deep predictive autonomous driving using multi-agent joint trajectory prediction and traffic rules
Autonomous driving is a challenging problem because the autonomous vehicle must
understand complex and dynamic environment. This understanding consists of predicting …
understand complex and dynamic environment. This understanding consists of predicting …
Transferable and adaptable driving behavior prediction
While autonomous vehicles still struggle to solve challenging situations during on-road
driving, humans have long mastered the essence of driving with efficient, transferable, and …
driving, humans have long mastered the essence of driving with efficient, transferable, and …
STFP: Simultaneous traffic scene forecasting and planning for autonomous driving
Autonomous vehicles must be able to understand the surrounding traffic flows and predict
the future traffic conditions for planning a safe maneuver. During prediction, the action of …
the future traffic conditions for planning a safe maneuver. During prediction, the action of …
Multi-Step Training for Predicting Roundabout Traffic Situations
M Sackmann, T Leemann, H Bey… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Predicting the future trajectories of surrounding vehicles is an important challenge in
automated driving, especially in highly interactive environments such as roundabouts. Many …
automated driving, especially in highly interactive environments such as roundabouts. Many …
Interpretable Goal-Based model for Vehicle Trajectory Prediction in Interactive Scenarios
The abilities to understand the social interaction behaviors between a vehicle and its
surroundings while predicting its trajectory in an urban environment are critical for road …
surroundings while predicting its trajectory in an urban environment are critical for road …
Long-term prediction of vehicle behavior using short-term uncertainty-aware trajectories and high-definition maps
Motion prediction of surrounding vehicles is one of the most important tasks handled by a
self-driving vehicle, and represents a critical step in the autonomous system necessary to …
self-driving vehicle, and represents a critical step in the autonomous system necessary to …
Learning an interpretable model for driver behavior prediction with inductive biases
To plan safe maneuvers and act with foresight, autonomous vehicles must be capable of
accurately predicting the uncertain future. In the context of autonomous driving, deep neural …
accurately predicting the uncertain future. In the context of autonomous driving, deep neural …