5 citations · 8 across the 11 of their papers we have counts for
5 papers · 1 filter
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
Bernard Lange, Masha Itkina, Jiachen Li +1
Environment prediction frameworks are critical for the safe navigation of autonomous vehicles (AVs) in dynamic settings. LiDAR-generated occupancy grid maps (L-OGMs) offer a robust…
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Jinning Li, Jiachen Li, Sangjae Bae +1
Deep learning-based trajectory prediction models for autonomous driving often struggle with generalization to out-of-distribution (OOD) scenarios, sometimes performing worse than s…
Graph Q-Learning for Combinatorial Optimization
Victoria M. Dax, Jiachen Li, Kevin Leahy +1
Graph-structured data is ubiquitous throughout natural and social sciences, and Graph Neural Networks (GNNs) have recently been shown to be effective at solving prediction and infe…
Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria M. Dax, Jiachen Li, Enna Sachdeva +2
Effective interaction modeling and behavior prediction of dynamic agents play a significant role in interactive motion planning for autonomous robots. Although existing methods hav…
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
Jiachen Li, Chuanbo Hua, Jianpeng Yao +4
Social robot navigation can be helpful in various contexts of daily life but requires safe human-robot interactions and efficient trajectory planning. While modeling pairwise relat…