Human|like decision making for lane change based on the cognitive ...

Human-like decision making for lane change based on the cognitive ...

This paper proposes a hierarchical reinforcement learning (HRL)-based framework with sound biological plausibility named Cog-MP.

Human-like decision making for lane change based on the cognitive ...

An HRL-based decision-making framework that integrates cognitive map and MP is proposed for human-like lane change. An SR-based cognitive map is introduced ...

Human-like decision making for lane change based on the cognitive ...

Inspired by the cognitive map, this paper proposes a hierarchical reinforcement learning (HRL)-based framework with sound biological ...

Human-like decision making for lane change based on the cognitive ...

Human-like decision making for lane change based on the cognitive map and hierarchical reinforcement learning ; Pergamon-elsevier Science Ltd · Human-like ...

Human-like decision making for lane change based on the cognitive ...

Request PDF | Human-like decision making for lane change based on the cognitive map and hierarchical reinforcement learning | Human-like decision making is ...

Human-like decision making for lane change based on the cognitive ...

The proposed framework is validated on two groups of realistic lane-change data, of which one group is used to train cognitions towards different styles of ...

Human-like decision making for lane change based on the cognitive ...

Human-like decision making for lane change based on the cognitive map and hierarchical reinforcement learning ... Authors: Chao Lu; Hongliang Lu; Danni Chen ...

Cognition‐inspired behavioural feature identification and motion ...

However, the primary features of human-like driving behaviors are not clear yet. To deal with this problem, inspired by drivers' cognition way, ...

A Cognitive-Based Trajectory Prediction Approach for Autonomous ...

Incorporating human decision-making insights enables AVs to more effectively anticipate the potential actions of other vehicles, significantly ...

A Human-Like Model to Understand Surrounding Vehicles' Lane ...

Unlike human drivers, the state-of-the-art models used in autonomous vehicles recognize a driver's lane changing intention based on the target vehicle's lateral ...

Human-like Decision-Making System for Overtaking Stationary ...

Human drivers make maneuver decisions based on how they interpret the scene from what they perceive. To imitate the decision-making strategy of a driver by ...

An interpretable decision-making model for autonomous driving

Therefore, a mandatory lane change occurs when the current lane deviates from the planned route. Conversely, when drivers are already in a lane ...

[PDF] Human-Like Decision Making for Autonomous Driving

177 Citations · Human-Like Lane-Change Decision Making for Automated Driving with a Game Theoretic Approach · Potential Game-Based Decision-Making for Autonomous ...

Development of Driving Intention Prediction System Based on ...

The simulated driver made some single lane change to pass a slower vehicle in front or to go out from highway at an interchange. Results showed that the ...

Human-Like Lane Change Decision Model for Autonomous ...

Determining an appropriate time to execute a lane change is a critical issue for the development of Autonomous Vehicles (AVs).However, few ...

Safe Decision-making for Lane-change of Autonomous Vehicles via ...

Simulation results suggest that human demonstrations can effectively improve the safety of decisions of RL. And the proposed strategy surpasses ...

Detection and Risk Analysis with Lane-Changing Decision ... - MDPI

Incentive-based model: It estimates the level of benefit if the lane change is made in addition to other parameters; the model makes the ...

An interpretable decision-making model for autonomous driving

Leveraging the behavior selection module from general cognitive architectures, we propose a decision-making model explicitly tailored for ...

Safe Decision-making for Lane-change of Autonomous Vehicles via ...

To address this problem, human demonstrations are incorporated into the RL-based decision-making strategy in this paper. Decisions made by human ...

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

In order to operate in an efficient and safe manner, AVs need to behave in a human-like fashion and generate optimal behaviours that take the ...