Context models for pedestrian intention prediction by factored latent-dynamic conditional random fields

• المؤلف الرئيسي: Satyajit Neogi
• مؤلفون آخرون: Justin Dauwels
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/143222
• المؤسسة: Nanyang Technological University

Smooth handling of pedestrian interactions is a key requirement for Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS). Such systems call for early and accurate prediction of a pedestrian's crossing/not-crossing behaviour in front of the vehicle. Existing approaches to pedes...