by Janine Marie Gehrig Lux | May 7, 2024 | Uncategorized
The space scenario envisions a crewed spacecraft performing a docking manoeuvre to an uncooperative target (a space station or another spacecraft) on a specific docking site. The GNC system must be able to acquire the pose estimation of the docking target and of the spacecraft itself, to compute a trajectory towards the target and to send commands to the actuators to perform the docking manoeuvre. The safety goal is to dock with adequate precision and avoid crashing or damaging the assets.
by Janine Marie Gehrig Lux | Apr 17, 2024 | Uncategorized
SAFEXPLAIN consortium meets halfway through the project at RISE venue in Lund With the first 18 months of the project behind it, the SAFEXPLAIN consortium met in Lund from 16-17 April to discuss project status and next steps for the next 18 months. Great strides have...
by Janine Marie Gehrig Lux | Apr 15, 2024 | Uncategorized
AI-generated image of object detection for automotive Artificial intelligence, and more specifically, Deep Learning algorithms are used for visual perception classification tasks, like camera-based object detection. For these tasks to work, they need to identify the...
by Janine Marie Gehrig Lux | Apr 11, 2024 | Uncategorized
Jon Perez Cerrolaza presenting the CARS WS keynote The SAFEXPLAIN project opened the 8th edition of the Critical Automotive applications: Robustness & Safety (CARS) workshop on 8 April 2024, with a keynote talk, delivered by Ikerlan partner Jon Perez-Cerrolaza on...
by Janine Marie Gehrig Lux | Feb 29, 2024 | Uncategorized
Figure 1: Project coordinator, Jaume Abella, at the BSC booth at MWC24 The 2024 Mobile World Congress in Barcelona offered the SAFEXPLAIN project the opportunity to meet key industry players from the global mobile ecosystem. Moreover, it granted the project partner...
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