no code implementations • 8 May 2024 • Amer Abughaida, Meet Gandhi, Jun Heo, Vaishnav Tadiparthi, Yosuke Sakamoto, Joohyun Woo, Sangjae Bae
Automated docking technologies of marine boats have been enlightened by an increasing number of literature.
no code implementations • 2 Apr 2024 • Piyush Gupta, David Isele, Sangjae Bae
Real-world driving involves intricate interactions among vehicles navigating through dense traffic scenarios.
1 code implementation • 28 Mar 2024 • Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Anon, Chiho Choi, Kikuo Fujimura, Scott Moura
This paper presents an online smooth-path lane-change control framework.
1 code implementation • 1 Feb 2023 • Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac
To ensure the safe operation of the interacting agents, we use a runtime safety filter (also referred to as a "shielding" scheme), which overrides the robot's dual control policy with a safety fallback strategy when a safety-critical event is imminent.
no code implementations • 17 Jan 2022 • Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
It can be difficult to autonomously produce driver behavior so that it appears natural to other traffic participants.
no code implementations • 8 Apr 2021 • Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
This paper proposes a discretionary lane selection algorithm.
2 code implementations • 15 Sep 2019 • Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev
Traditional planning and control methods could fail to find a feasible trajectory for an autonomous vehicle to execute amongst dense traffic on roads.
1 code implementation • 9 Sep 2019 • Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott Moura
This paper presents a real-time lane change control framework of autonomous driving in dense traffic, which exploits cooperative behaviors of other drivers.