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Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control
  of Connected Autonomous Vehicles

Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles

1 January 2021
Xiaoxue Zhang
Zilong Cheng
Jun Ma
Sunan Huang
F. Lewis
Tong-heng Lee
ArXiv (abs)PDFHTML

Papers citing "Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles"

3 / 3 papers shown
Title
Decentralized iLQR for Cooperative Trajectory Planning of Connected
  Autonomous Vehicles via Dual Consensus ADMM
Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM
Zhen Huang
Shaojie Shen
Jun Ma
90
30
0
11 Jan 2023
Velocity Obstacle Based Risk-Bounded Motion Planning for Stochastic
  Multi-Agent Systems
Velocity Obstacle Based Risk-Bounded Motion Planning for Stochastic Multi-Agent Systems
Xiaoxue Zhang
Jun Ma
Zilong Cheng
Masayoshi Tomizuka
Tong-heng Lee
74
3
0
20 Feb 2022
Neural-iLQR: A Learning-Aided Shooting Method for Trajectory
  Optimization
Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization
Zilong Cheng
Yuling Li
Kai Chen
Jun Ma
Tong-heng Lee
55
1
0
21 Nov 2020
1