https://blog.pouceheure.fr/tags/context_decision/Recent content in Context_decision on Hugo POUSSEURHugoenTue, 14 Oct 2025 00:00:00 +0000https://blog.pouceheure.fr/projects/autosys-lidar-and-decision/Tue, 14 Oct 2025 00:00:00 +0000https://blog.pouceheure.fr/projects/autosys-lidar-and-decision/Demonstration Video 1 - Video demo of the LiDAR Detection pipeline Info: A video demonstration of the decision-making system is coming soon. Introduction In autonomous driving, the vehicle must be able to make a series of decisions, such as slowing down, stopping at an intersection, or waiting until the road is clear before proceeding. These decisions depend on the behavior of other road users. The system must therefore identify surrounding obstacles and determine which ones are relevant for decision-making.https://blog.pouceheure.fr/articles/thesis/Thu, 28 Mar 2024 00:00:00 +0000https://blog.pouceheure.fr/articles/thesis/Abstract My thesis is based on shared navigation between the autonomous system and the human. In our research, we focus on command fusion. In our approach, both entities, the human and the autonomous system, simultaneously control the vehicle, and a module acquires their commands and performs the command fusion. This approach involves studying the intentions of both the human and the autonomous system to ensure the most appropriate fusion of their choices and to evaluate the decision-making of each entity.https://blog.pouceheure.fr/articles/general-multi-criteria/Sun, 01 Jan 2023 00:00:00 +0000https://blog.pouceheure.fr/articles/general-multi-criteria/Abstract Determining the admissibility and quality of driving intentions, generated by an automated intelligent vehicle and by a human driver, is a sine qua none task in a human-intelligent vehicle share navigation. Our paper proposes a generic method to quantify driving intentions. These intentions are defined by a sequence of velocities. This formulation is based on metrics already discussed in the literature. It proposes a way to use them to evaluate a state, making a judgment, and to extend this evaluation to a sequence of states.https://blog.pouceheure.fr/articles/context-awareness/Sat, 01 Jan 2022 00:00:00 +0000https://blog.pouceheure.fr/articles/context-awareness/Abstract Many studies faced the problem of vehicle autonomous navigation in different fields, but nowadays just a few of them uses all the implicit information coming from the context in which such navigation is occurring. This results in a huge potential information loss that prevents us from adapting the vehicle’s behavior to each different situation it may be in. In a previous work, we defined a method to model the static context of navigation using ontologies and take it into account in the command law when performing a local navigation task.https://blog.pouceheure.fr/articles/context-modelling/Fri, 01 Jan 2021 00:00:00 +0000https://blog.pouceheure.fr/articles/context-modelling/Abstract This paper faces the problem of intelligent vehicles in interaction with their occupants and the environment, by modelling the semantic context associated with navigation. By semantically modelling context, an intelligent vehicle can not only drive itself safely but also reason about the situation and act accordingly. To achieve this, it is necessary to first define the Context of Navigation and then establish inference rules to enrich the vehicle’s understanding of the situation.https://blog.pouceheure.fr/articles/shared-decision/Fri, 01 Jan 2021 00:00:00 +0000https://blog.pouceheure.fr/articles/shared-decision/Abstract In this paper, a non-haptic shared control is applied to navigate an intelligent vehicle based on two inputs: one by a human driver and the other by an autonomous system. The proposed shared decision-making model aims to improve the safety and efficiency of autonomous vehicle navigation by integrating human intuition and machine precision. Experimental results demonstrate the effectiveness of this approach in various driving scenarios. :contentReference[oaicite:0]{index=0}