activity
20182025
most citedPiP: Planning-informed Trajectory Prediction for Autonomous Driving

165 citations · 310 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.RO2019★ 5 cited

Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor

Wenchao Ding, Lu Zhang, Jing Chen +1

Planning safe trajectories for autonomous vehicles in complex urban environments is challenging since there are numerous semantic elements (such as dynamic agents, traffic lights a…

cs.RO2019★ 4 cited

An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors

Wenchao Ding, Wenliang Gao, Kaixuan Wang +1

Trajectory replanning for quadrotors is essential to enable fully autonomous flight in unknown environments. Hierarchical motion planning frameworks, which combine path planning wi…

cs.RO2019★ 45 cited

Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization

Wenchao Ding, Wenliang Gao, Kaixuan Wang +1

We focus on a replanning scenario for quadrotors where considering time efficiency, non-static initial state and dynamical feasibility is of great significance. We propose a real-t…

cs.RO2019★ 7 cited

Online Vehicle Trajectory Prediction using Policy Anticipation Network and Optimization-based Context Reasoning

Wenchao Ding, Shaojie Shen

In this paper, we present an online two-level vehicle trajectory prediction framework for urban autonomous driving where there are complex contextual factors, such as lane geometri…

cs.RO2019★ 9 cited

Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network

Wenchao Ding, Jing Chen, Shaojie Shen

Anticipating possible behaviors of traffic participants is an essential capability of autonomous vehicles. Many behavior detection and maneuver recognition methods only have a very…