TY - JOUR PY - 2021// TI - Distance measurement using camera image for automatic classification of driving scenes on cloud JO - Transactions of Society of Automotive Engineers of Japan A1 - Sasaki, Goshi A1 - Jiralerspong, Trongmun A1 - Asai, Daisuke SP - 1235 EP - 1240 VL - 52 IS - 6 N2 - Unexpected operation made by the vehicle system are becoming difficult to analyze due to the sophistication of autonomous driving technology. As such, there is a growing demand to collect and classify images of various driving scenes using cloud platform, but this process requires a lot of workload. Therefore, it is necessary to develop a technology to automatically classify driving scenes based on the information of the ego vehicle's surrounding situation. This paper proposes a method to accurately detect objects in front of the vehicle and estimate their distance using a perspective projection model by applying super-resolution and object detection techniques.

Language: ja

LA - ja SN - 0287-8321 UR - http://dx.doi.org/10.11351/jsaeronbun.52.1235 ID - ref1 ER -