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 …
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 …
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 …
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 …
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 …
Bat: Behavior-aware human-like trajectory prediction for autonomous driving
The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to
overcome on the journey to fully autonomous vehicles. To address this challenge, we …
overcome on the journey to fully autonomous vehicles. To address this challenge, we …
Risk analysis of autonomous vehicles in mixed traffic streams
The introduction of autonomous vehicles in the surface transportation system could improve
traffic safety and reduce traffic congestion and negative environmental effects. Although the …
traffic safety and reduce traffic congestion and negative environmental effects. Although the …
A taxonomy and review of algorithms for modeling and predicting human driver behavior
K Brown, K Driggs-Campbell… - arXiv preprint arXiv …, 2020 - arxiv.org
We present a review and taxonomy of 200 models from the literature on driver behavior
modeling. We begin by introducing a mathematical framework for describing the dynamics of …
modeling. We begin by introducing a mathematical framework for describing the dynamics of …
The interacting multiple model smooth variable structure filter for trajectory prediction
An autonomous vehicle would benefit from being able to predict trajectories of other vehicles
in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories …
in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories …
Intent-aware pedestrian prediction for adaptive crowd navigation
Mobile robots capable of navigating seamlessly and safely in pedestrian rich environments
promise to bring robotic assistance closer to our daily lives. In this paper we draw on insights …
promise to bring robotic assistance closer to our daily lives. In this paper we draw on insights …