Watch-and-learn-net: Self-supervised online learning for probabilistic vehicle trajectory prediction
The prediction of other road users is an essential task in autonomous driving for preventing
collisions and enabling dynamic trajectory planning. This task becomes even more complex …
collisions and enabling dynamic trajectory planning. This task becomes even more complex …
[HTML][HTML] Detecting Sleep and Non-wear in 24-Hour Wrist Accelerometer Data from the National Health and Nutrition Examination Survey
B Thapa-Chhetry, DJ Arguello, D John… - Medicine and science in …, 2022 - ncbi.nlm.nih.gov
Purpose: To develop an algorithm that simultaneously identifies sensor wake-wear, sleep-
wear, and non-wear in 24-hour wrist-accelerometer data collected with or without filtering …
wear, and non-wear in 24-hour wrist-accelerometer data collected with or without filtering …
Online learning for data-driven trajectory predictions
V Grotto - 2024 - diva-portal.org
Accurate trajectory predictions of surrounding actors, such as vehicles and pedestrians, are
crucial for ensuring the safety of autonomous driving systems and other road agents. The …
crucial for ensuring the safety of autonomous driving systems and other road agents. The …
A comparative review of forecasting methods for the availability of charging stations for electric vehicles
JS Schiller - 2021 - opus4.kobv.de
The transformation of the automotive industry from fossil to electric poses various
challenges. One is the ecient placement and use of electric charging stations. This thesis …
challenges. One is the ecient placement and use of electric charging stations. This thesis …