Drive Horizon: An artificial intelligent approach to predict vehicle speed for efficient powertrain control
Over the last couple of decades, we have seen significant technological advancements in machine learning, sensing, Internet-of-Things (IoT) due to interdisciplinary developments coming together from separate fields of artificial intelligence (AI), robotics, connectivity, etc. These tremendous technological advancements are enabling autonomous systems to operate in real world dynamic environments in the form of autonomous vehicles, autonomous marine robots, and so forth, and autonomous vehicles are expected to change the mobility landscape by safely and efficiently moving people and goods in the shortest time, with low energy consumption and low emissions. Additionally, integrating connectivity with vehicle autonomy will enable us to realize connected autonomous vehicles (CAVs). Such CAVs promise further improvements in safety, comfort and resource efficiency by enabling congestion free traffic routing, increased vehicle safety, reduced fuel consumption, as well as increased drive range by intelligent control of the powertrain.
