HiddenGems: Efficient safety boundary detection with active learning

Autor: Petrov, Aleksandar, Fang, Carter, Pham, Khang Minh, Eng, You Hong, Fu, James Guo Ming, Pendleton, Scott Drew

Evaluating safety performance in a resource-efficient way is crucial for the development of autonomous systems. Simulation of parameterized scenarios is a popular testing strategy but parameter sweeps can be prohibitively expensive. To address this,

Externí odkaz: http://arxiv.org/abs/2210.13956

Perception, Planning, Control, and Coordination for Autonomous Vehicles

Autor: Pendleton, Scott Drew, Andersen, Hans, Du, Xinxin, Shen, Xiaotong, Meghjani, Malika, Eng, You Hong, Ang, Marcelo H., Pendleton, Scott, Eng, You, Ang, Marcelo, Rus, Daniela L

Publikováno v: Multidisciplinary Digital Publishing Institute
Machines, Vol 5, Iss 1, p 6 (2017)
Machines; Volume 5; Issue 1; Pages: 6

Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the envir

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b213df53dcd629c12db160f282bc4759
https://doi.org/10.3390/machines5010006

Autonomous mobility on demand in SimMobility: Case study of the central business district in Singapore.

Autor: Marczuk, Katarzyna Anna, Hong, Harold Soh Soon, Azevedo, Carlos Miguel Lima, Adnan, Muhammad, Pendleton, Scott Drew, Frazzoli, Emilio, Lee, Der Horng

Publikováno v: 2015 IEEE 7th International Conference on Cybernetics & Intelligent Systems (CIS) & IEEE Conference on Robotics, Automation & Mechatronics (RAM); 2015, p167-172, 6p