Bringing diversity to autonomous vehicles: An interpretable multi-vehicle decision-making and planning framework
With the development of autonomous driving, it is becoming increasingly common for
autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads …
autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads …
An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors
This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …
Planning and decision-making for autonomous vehicles
W Schwarting, J Alonso-Mora… - Annual Review of Control …, 2018 - annualreviews.org
In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification
The integration of Autonomous Vehicles (AVs) into existing human-driven traffic systems
poses considerable challenges, especially within environments where human and machine …
poses considerable challenges, especially within environments where human and machine …
Learning interaction-aware guidance policies for motion planning in dense traffic scenarios
B Brito, A Agarwal, J Alonso-Mora - arXiv preprint arXiv:2107.04538, 2021 - arxiv.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
Connected autonomous vehicle motion planning with video predictions from smart, self-supervised infrastructure
Connected autonomous vehicles (CAVs) promise to enhance safety, efficiency, and
sustainability in urban transportation. However, this is contingent upon a CAV correctly …
sustainability in urban transportation. However, this is contingent upon a CAV correctly …
Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach
With the integration of Autonomous Vehicles (AVs) into our transportation systems, their
harmonious coexistence with Human-driven Vehicles (HVs) in mixed traffic settings …
harmonious coexistence with Human-driven Vehicles (HVs) in mixed traffic settings …
Learning interaction-aware guidance for trajectory optimization in dense traffic scenarios
B Brito, A Agarwal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
Integrating intuitive driver models in autonomous planning for interactive maneuvers
K Driggs-Campbell, V Govindarajan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Given the current capabilities of autonomous vehicles, one can easily imagine autonomous
vehicles being released on the road in the near future. However, it can be assumed that this …
vehicles being released on the road in the near future. However, it can be assumed that this …
Safety-assured speculative planning with adaptive prediction
Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …