Sensing and machine learning for automotive perception: a review

• Main Authors: Pandharipande, Ashish, Cheng, Chih-Hong, Dauwels, Justin, Gurbuz, Sevgi Z., Ibanez-Guzman, Javier, Li, Guofa, Piazzoni, Andrea, Wang, Pu, Santra, Avik
• Other Authors: Interdisciplinary Graduate School (IGS)
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Sensors; Automotive Engineering
• Online Access: https://hdl.handle.net/10356/170698
• Institution: Nanyang Technological University

Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such...