activity
20182021
most citedMulti-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network

9 citations · 9 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20219 cited

Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network

Bo Dong, Hao Liu, Yu Bai +4

Predicting future trajectories of surrounding obstacles is a crucial task for autonomous driving cars to achieve a high degree of road safety. There are several challenges in traje…

cs.RO2020

Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments

Bai Li, Shaoshan Liu, Jie Tang +3

E-commerce has evolved with the digital technology revolution over the years. Last-mile logistics service contributes a significant part of the e-commerce experience. In contrast t…

cs.RO2019

Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach

Bai Li, Tankut Acarman, Qi Kong +1

This paper proposes a fast and accurate trajectory planning algorithm for autonomous parking. Nominally, an optimal control problem should be formulated to describe this scheme, bu…

cs.RO2018

Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating Algorithm

Fan Zhu, Lin Ma, Xin Xu +3

For any autonomous driving vehicle, control module determines its road performance and safety, i.e. its precision and stability should stay within a carefully-designed range. Nonet…

cs.RO2018

An Auto-tuning Framework for Autonomous Vehicles

Haoyang Fan, Zhongpu Xia, Changchun Liu +2

Many autonomous driving motion planners generate trajectories by optimizing a reward/cost functional. Designing and tuning a high-performance reward/cost functional for Level-4 aut…