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 of motion planning and control techniques for self-driving urban vehicles
Self-driving vehicles are a maturing technology with the potential to reshape mobility by
enhancing the safety, accessibility, efficiency, and convenience of automotive transportation …
enhancing the safety, accessibility, efficiency, and convenience of automotive transportation …
Baidu apollo em motion planner
In this manuscript, we introduce a real-time motion planning system based on the Baidu
Apollo (open source) autonomous driving platform. The developed system aims to address …
Apollo (open source) autonomous driving platform. The developed system aims to address …
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 …
Automated driving in uncertain environments: Planning with interaction and uncertain maneuver prediction
Automated driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
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 …
R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
N Rhinehart, KM Kitani… - Proceedings of the …, 2018 - openaccess.thecvf.com
We propose a method to forecast a vehicle's ego-motion as a distribution over
spatiotemporal paths, conditioned on features (eg, from LIDAR and images) embedded in …
spatiotemporal paths, conditioned on features (eg, from LIDAR and images) embedded in …
Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems
Autonomous driving has been the subject of incre-ased interest in recent years both in
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
Planning with trust for human-robot collaboration
Trust is essential for human-robot collaboration and user adoption of autonomous systems,
such as robot assistants. This paper introduces a computational model which integrates trust …
such as robot assistants. This paper introduces a computational model which integrates trust …
Autonomous vehicles in the sustainable cities, the beginning of a green adventure
A Chehri, HT Mouftah - Sustainable Cities and Society, 2019 - Elsevier
Every revolution promises a spirit of optimism and significant changes. Connected and
automated vehicles (CAVs) are coming to our roadways. CAVs have a crucial role to play in …
automated vehicles (CAVs) are coming to our roadways. CAVs have a crucial role to play in …