In this paper, to analyze end-to-end timing behavior in heterogeneous processor and
network environments accurately, we adopt and modify a heterogeneous selection value on …

Data stream management systems (DSMSs) are useful for the management and processing
of continuous data at a high input rate with low latency. In the automotive domain …

Automotive applications are typical cyber-physical systems, which perform real-time
continuous data processing using a variety of onboard sensors and communications from …

Data stream management systems (DSMSs) are suitable for managing and processing
continuous data at high input rates with low latency. For advanced driver assistance …

Modern automotive systems incorporate a range of data from on-board sensors and outside
the vehicle. This results in complex data processing and rising software development costs …

As technology advances, so does the development of Advanced Driver-Assistance Systems
(ADAS), which are crucial for vehicle and passenger safety. To fulfill the purpose, ADAS are …

The amount of spatio-temporal data, ie location data from moving objects, that is available in
real time is increasing continuously due to the expanding availability of small and cheap …

As the sensors and actuators for building an autonomous vehicle are getting increasingly
affordable, both industry and research can now leverage on autonomous vehicle platform for …

Recent automotive systems require various data, including data from on-board sensors and
external sources to recognize environmental conditions. As the amount of sensor data used …

論文抄録 **年, 自動車では自動運転や衝突回避などが研究開発され, 複数のセンサに加えて
車々間通信など入力データの到着タイミングやデータ量が変動する車外からのデータ活用が進め …