Interaction|Aware Behavior Planning for Autonomous Vehicles ...

[2101.05985] Interaction-Aware Behavior Planning for Autonomous ...

Such different characteristics can lead to quite different interactive behaviors. Hence, to achieve safe and efficient autonomous driving, AVs ...

Behavior and Interaction-aware Motion Planning for Autonomous ...

Abstract: Safe motion planning in complex and interactive environments is one of the major challenges for developing autonomous vehicles.

Interaction-Aware Behavior Planning for Autonomous Vehicles ...

Hence, to achieve safe and efficient autonomous driving, AVs need to be aware of such un- certainties when they plan their own behaviors. In ...

Interaction-Aware Behavior Planning for Autonomous Vehicles ...

This paper forms a behavior planning problem as a partially observable Markov Decision Process (POMDP) where the cooperativeness of other traffic ...

Interaction-Aware Decision-Making for Autonomous Vehicles ... - arXiv

1, the goal is to design a behavior planner for the ego vehicle to merge into the target highway lane while accounting for interactions with ...

Interaction-Aware Behavior Planning for Autonomous Vehicles ...

Request PDF | Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data | Autonomous vehicles (AVs) need to interact with ...

Social Interaction-Aware Motion Planning for Autonomous Vehicles

We do an Inverse Reinforcement Learning (IRL)-based analysis to study whether our courtesy term helps in better predicting how humans drive. On the NGSIM ...

Designing Interaction-aware Prediction and Planning Models for ...

It is an extremely challenging task to enable autonomous vehicles interactively predict behaviors of others, and plan safe and high-quality motions for ...

Interaction-Aware Behavior Planning for Autonomous Vehicles ...

Request PDF | Interaction-Aware Behavior Planning for Autonomous Vehicles Validated With Real Traffic Data | Autonomous vehicles (AVs) need to interact with ...

Behavior and Interaction-aware Motion Planning for Autonomous ...

Simulation case studies demonstrate that the proposed interaction and behavior-aware motion planning framework based on joint predictions of intentions and ...

Data-driven interaction-aware behavior prediction for autonomous ...

Future progress toward the realization of fully self-driving vehicles still requires human-level social compliance, arguably dependent on the ...

Interaction-driven Behavior Prediction and Planning for Autonomous ...

For example, seeing a recording vehicle or no driver in an autonomous car can influence traffic participant's decisions. Fixed settings in automated functions, ...

Interaction-Aware Planning Under Uncertainty for Autonomous Driving

We use these models for planning on two levels of abstraction: high-level, discrete decisions that help the autonomous vehicle reach its ...

Interactive Joint Planning for Autonomous Vehicles

In highly interactive driving scenarios, the actions of one agent greatly influences those of its neighbors. Planning safe motions for autonomous vehicles ...

Interaction-Aware Cut-in Behavior Prediction and Risk Assessment ...

However, related studies on cut-in event prediction and risk assessment have rarely been presented in autonomous driving field. A phase-based design framework ...

Behavior and Interaction-aware Motion Planning for Autonomous ...

Safe motion planning in complex and interactive environments is one of the major challenges for developing autonomous vehicles.

Social Interaction‐Aware Dynamical Models and Decision‐Making ...

Interaction-aware autonomous driving (IAAD) is a growing research field, focusing on autonomous vehicles (AVs) safely interacting with human ...

Designing Interaction-Aware Prediction and Planning Models for ...

It is an extremely challenging task to enable autonomous vehicles interactively predict behaviors of others, and plan safe and high-quality motions for ...

Data-Driven Interaction-Aware Behavior Prediction for ... - DiVA portal

Future progress toward the realization of fully self-driving vehicles still re-quires human-level social compliance, arguably dependent on the ...

Behavior-Aware Human-Like Trajectory Prediction for Autonomous ...

In conclusion, the behavior-aware model represents a significant advancement in the development of autonomous vehicles capable of predicting ...