Work

D3.2: Perception System and Self-Assessment

Year: 2024

Type: article

Abstract: D3.2 covers all work done within WP3 and its tasks (T3.1-T3.5). T3.1 involves the acquisition and adaptation of training data needed for the machine learning-based approaches. T3.2 covers the topic of semantic scene analysis and precise localization. T3.3 involves work on the integration of past and current measurements from on-board sensors to obtain the current environment state. Furthermore, it involves a prediction of how the latter will evolve over time. T3.4 is on the topic of augmented perception by V2X, extending the on-board perception of the ego-vehicle with information coming from other Connected and Automated Vehicles (CAVs) or infrastructure sensors. Finally, T3.5 covers perception system SA.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15291081

Author: Delft University of Technology

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: European Commission

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