Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
Pedestrian intention prediction for autonomous vehicles: A comprehensive survey
Lately, Autonomous vehicles (AV) have been gaining traction globally owing to their huge
social, economic and environmental benefits. However, the rising safety apprehensions for …
social, economic and environmental benefits. However, the rising safety apprehensions for …
Tpnet: Trajectory proposal network for motion prediction
Making accurate motion prediction of the surrounding traffic agents such as pedestrians,
vehicles, and cyclists is crucial for autonomous driving. Recent data-driven motion prediction …
vehicles, and cyclists is crucial for autonomous driving. Recent data-driven motion prediction …
Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …
vehicles plan future trajectories. We develop a partially observable Markov decision process …
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 …
Context-based path prediction for targets with switching dynamics
Anticipating future situations from streaming sensor data is a key perception challenge for
mobile robotics and automated vehicles. We address the problem of predicting the path of …
mobile robotics and automated vehicles. We address the problem of predicting the path of …
Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections
Cyclist trajectory prediction is of great significance for both active collision avoidance and
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …
Probabilistic Kalman filter for moving object tracking
F Farahi, HS Yazdi - Signal Processing: Image Communication, 2020 - Elsevier
Kalman filter has been successfully applied to tracking moving objects in real-time
situations. However, the filter cannot take into account the existing prior knowledge to …
situations. However, the filter cannot take into account the existing prior knowledge to …
LSTM based trajectory prediction model for cyclist utilizing multiple interactions with environment
Z Huang, J Wang, L Pi, X Song, L Yang - Pattern Recognition, 2021 - Elsevier
The cyclist trajectory prediction is critical for the local path planning of autonomous vehicles.
Based on the assumption that cyclist's movement is limited by its dynamics and subjected to …
Based on the assumption that cyclist's movement is limited by its dynamics and subjected to …
Vision-based real-time online vulnerable traffic participants trajectory prediction for autonomous vehicle
Recently, Vulnerable Traffic Participants (VTPs) trajectory prediction has got some attention,
which can help autonomous vehicles better understand complex traffic environments. This …
which can help autonomous vehicles better understand complex traffic environments. This …