A review of recurrent neural networks: LSTM cells and network architectures
Y Yu, X Si, C Hu, J Zhang - Neural computation, 2019 - direct.mit.edu
Recurrent neural networks (RNNs) have been widely adopted in research areas concerned
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
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 …
Autonomous vehicles that interact with pedestrians: A survey of theory and practice
A Rasouli, JK Tsotsos - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …
environments. To make it a reality, autonomous vehicles require the ability to communicate …
Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior
A Rasouli, I Kotseruba… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Designing autonomous vehicles suitable for urban environments remains an unresolved
problem. One of the major dilemmas faced by autonomous cars is how to understand the …
problem. One of the major dilemmas faced by autonomous cars is how to understand the …
Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches
R Korbmacher, A Tordeux - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …
depending on many external factors. The topology of the scene and the interactions …
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 …
A literature review on the prediction of pedestrian behavior in urban scenarios
The ability to anticipate pedestrian actions on streets is a safety issue for intelligent cars and
has increasingly drawn the attention of the automotive industry. Estimating when …
has increasingly drawn the attention of the automotive industry. Estimating when …
Context-based pedestrian path prediction
We present a novel Dynamic Bayesian Network for pedestrian path prediction in the
intelligent vehicle domain. The model incorporates the pedestrian situational awareness …
intelligent vehicle domain. The model incorporates the pedestrian situational awareness …
Future person localization in first-person videos
We present a new task that predicts future locations of people observed in first-person
videos. Consider a first-person video stream continuously recorded by a wearable camera …
videos. Consider a first-person video stream continuously recorded by a wearable camera …
Pedestrian models for autonomous driving part ii: high-level models of human behavior
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …