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ReliablE in-Vehicle pErception and decisioN-making in complex environmenTal conditionS

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Initial version of motion planning and behavioural decision-making components

This deliverable includes the initial version of motion planning algorithms (T4.1) and behavioural decision-making strategies (T4.2).

Perception Components Methods

Description of the various component methods for data acquisition and adaptation (T3.1), semantic scene analysis and precise localisation (T3.2), environment state estimation and motion prediction (T3.3) and augmented perception by V2X (T3.4).

EVENTS Communication, Dissemination, and social awareness

The dissemination and communication plan as well as initial social awareness activities will be documented in the first version of this deliverable (M06). An updated version of this deliverable will be available in the mid-term of the project (M18), while the final version of this deliverable (M36) will include all the activities performed throughout the project. The communication and dissemination activities will be performed in T7.1, whereas the social innovation and awareness activities will be part of T7.4.

Full Stack Architecture & Interfaces

EVENTS system architecture and relevant interfaces will be included here. This is the outcome of T2.3 dealing with architectural aspects.

Quality and Risk Management Plan

Establishes a quality control strategy and sets the quality objectives for EVENTS, it includes the Risk Management section with the methodology to identify, evaluate and manage project risks. This is the outcome of T1.3 which deals with quality and risk management procedures.

User and system requirements for selected use cases

The requirements and specification of the EVENTS system will be detailed in this deliverable. This will include the outcome of the use cases specification in T2.1 and the user and system requirements in T2.2.

Intermediate EVENTS Communication, Dissemination, and social awareness

This deliverable will be an updated version of deliverable D7.1.

Vehicle System Hazard Analysis & Risk Assessment

The outcome of the HARA for the vehicle system will be reported in this deliverable. This is actually the outcome of T2.4 dealing with HARA in the vehicle system.

Publikacje

Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic

Autorzy: Thomas Griebel, Jonas Heinzler, Michael Buchholz, and Klaus Dietmayer
Opublikowane w: 2023
Wydawca: 023 26th International Conference on Information Fusion (FUSION)
DOI: 10.18725/OPARU-51054

The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter

Autorzy: Charlotte Hermann, Martin Herrmann, Thomas Griebel, Michael Buchholz, and Klaus Dietmayer
Opublikowane w: 2023
Wydawca: 023 26th International Conference on Information Fusion (FUSION)
DOI: 10.18725/OPARU-51053

Pedestrian Environment Model for Automated Driving

Autorzy: Holzbock, Adrian; Tsaregorodtsev, Alexander; Belagiannis, Vasileios
Opublikowane w: Crossref, 2023
Wydawca: 26th IEEE International Conference on Intelligent Transportation Systems -ITSC 2023
DOI: 10.48550/arxiv.2308.09080

Adaptive Patched Grid Mapping

Autorzy: Wodtko, Thomas; Griebel, Thomas; Buchholz, Michael
Opublikowane w: Crossref, 2023
Wydawca: 26th IEEE International Conference on Intelligent Transportation Systems -ITSC 2023
DOI: 10.48550/arxiv.2308.03416

Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations

Autorzy: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Opublikowane w: IEEE Transactions on Intelligent Vehicles, 2024, ISSN 2379-8904
Wydawca: IEEE Transactions on Intelligent Vehicles
DOI: 10.48550/arXiv.2403.01172

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