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Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

_ECCV 2020_ End-to-end neural motion planner based on interpretable semantic scene occupancies

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

_ECCV 2020_ Multi-level fusion of LiDAR & Radar for object detection and velocity estimation

The Importance of Prior Knowledge in Precise Multimodal Prediction

_IROS 2020_ __(Oral)__ Incorporate non-differentiable prior knowledge for behavior forecasting

PnPNet: End-to-End Perception and Prediction with Tracking in the Loop

_CVPR 2020_ Tracking in the loop in joint perception and prediction

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

_ICRA 2020_ Relational reasoning for multi-agent behavior prediction from sensors

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

_CoRL 2019_ __(Spotlight)__ Long-term pedestrian forecasting with occupancy grid maps

End-to-end Interpretable Neural Motion Planner

_CVPR 2019_ __(Oral)__ Neural motion planner from LiDAR and HD maps

Intentnet: Learning to Predict Intention from Raw Sensor Data

_CoRL 2018_ __(Spotlight)__ Joint perception and prediction from LiDAR point clouds and HD maps