activity
20122021
most citedIntensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

132 citations · 426 across the 29 of their papers we have counts for

collaborators

50 papers

math.OC2021

DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation

Kun Cao, Muqing Cao, Shenghai Yuan +1

This paper introduces a differential dynamic programming (DDP) based framework for polynomial trajectory generation for differentially flat systems. In particular, instead of using…

cs.RO202133 cited

Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties

Juncheng Li, Maopeng Ran, Lihua Xie

Autonomous ground vehicles (AGVs) are receiving increasing attention, and the motion planning and control problem for these vehicles has become a hot research topic. In real applic…

math.OC2021

Online Abstract Dynamic Programming with Contractive Models

Xiuxian Li, Lihua Xie

This paper addresses the abstract dynamic programming (DP) in the online scenario, where the abstract DP mapping is time-varying, instead of static. In this case, optimal costs and…

cs.LG20217 cited

Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints

Xinlei Yi, Xiuxian Li, Tao Yang +3

This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The…

cs.CV20215 cited

Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk

Ruibo Li, Guosheng Lin, Lihua Xie

Due to the scarcity of annotated scene flow data, self-supervised scene flow learning in point clouds has attracted increasing attention. In the self-supervised manner, establishin…

math.OC2021

Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence

Jiaqi Zhang, Keyou You, Lihua Xie

Information compression is essential to reduce communication cost in distributed optimization over peer-to-peer networks. This paper proposes a communication-efficient linearly con…