output
20182022
most citedSelf-Supervised Scene Flow Estimation with 4-D Automotive Radar

48 citations

5 papers

cs.CV2022★ 48 cited

Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

Fangqiang Ding, Zhijun Pan, Yimin Deng +2

Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy. While estimating the scene…

cs.CV2019

ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System

Zhenzhen Xiang, Jingrui Yu, Jie Li +1

In this paper, we present a multi-camera visual odometry (VO) system for an autonomous vehicle. Our system mainly consists of a virtual LiDAR and a pose tracker. We use a perspecti…

cs.CV2019★ 10 cited

Boosting Real-Time Driving Scene Parsing with Shared Semantics

Zhenzhen Xiang, Anbo Bao, Jie Li +1

Real-time scene parsing is a fundamental feature for autonomous driving vehicles with multiple cameras. In this letter we demonstrate that sharing semantics between cameras with di…

cs.AI2019★ 1 cited

Intelligent Solution System towards Parts Logistics Optimization

Yaoting Huang, Boyu Chen, Wenlian Lu +2

Due to the complication of the presented problem, intelligent algorithms show great power to solve the parts logistics optimization problem related to the vehicle routing problem (…

cs.AI2018★ 19 cited

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Leye Wang, Xu Geng, Xiaojuan Ma +2

Spatio-temporal prediction is a key type of tasks in urban computing, e.g., traffic flow and air quality. Adequate data is usually a prerequisite, especially when deep learning is…