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Design Databases
Published in Louis Scheffer, Luciano Lavagno, Grant Martin, EDA for IC Implementation, Circuit Design, and Process Technology, 2018
This chapter describes the place of a design database in an integrated system. It documents some historical databases and design systems by way of reference, for those who are interested in how we got to today’s state of the art. We then focus on the current best practices in the EDA design database area, starting with a generic conceptual schema, and building in complexity on that. Real-world examples of commercially available design databases are presented, with special emphasis placed on the OpenAccess Coalition and their community-open-sourced EDA database. Finally, a series of historic and current references are given as a resource for those who would like to learn more. As there is entirely too much information to present in these pages, readers are encouraged to seek out the current references.
Head injury criteria in child pedestrian accidents
Published in International Journal of Crashworthiness, 2018
D. Montoya, L. Thollon, M. Llari, C. Perrin, M. Behr
One limitation of our study concerns the low level of medical data details. Only the AIS is reported in the GIDAS and EACS databases. A more detailed injury assessment is recorded in the EDA database, but the database currently only contains less serious accidents, with an AIS limited to 1 and 2, with no cases of fracture, hematoma or significant neurological injury. It is possible that more severe cases will be referenced there eventually, allowing us to improve our model. This low level of detail in the listed injuries makes discrimination of the type of injury risk difficult at this stage. Our prediction model is thus based on three physical parameters that seem to be indicated a priori in order to characterise three main types of injury; i.e. fractures, hematoma and neurological injuries, but for now remains limited to a prediction of the severity of the injury assessment, by estimating an AIS score ranging from 0 to 6. With the addition of further medical data, it is likely that the prediction of specific injuries will be possible. It would then be possible to replicate the methodology proposed by [12] in order to assess the predictive ability of our indicators in particular types of childhood injuries.
Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases
Published in International Journal of Crashworthiness, 2022
François Char, Thierry Serre, Sabine Compigne, Pablo Puente Guillen
Figure 3 illustrates an accident reconstruction from the EDA database with the described algorithm (images a and a’) considering for the same accident a FCW with two different FOVs (images b, c and d) for a FOV = 30° and images (b’, c’ and d’) for a FOV = 50°. The considered accident case is categorised into the turning left scenario. In this accident, the driver did not brake prior the collision. The original accident kinematics and bounding boxes are in black and red for the car and the cyclist, respectively (Figure 3a and a’). The red circles highlight the different cyclist’s position.