Search Results for author:
Found 4 papers, 1 papers with code
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting
These models are intrinsically invariant to translation and rotation between scene elements, are best-performing on public leaderboards, but scale quadratically with the number of agents and scene elements.
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving.
Ranked #16 on
Motion Forecasting
on Argoverse CVPR 2020
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition
Vehicle taillight recognition is an important application for automated driving, especially for intent prediction of ado vehicles and trajectory planning of the ego vehicle.
Unsupervised Feature Learning for Classification of Outdoor 3D Scans
We introduce a method for formatting segmented regions of Velodyne scans into regularly sampled depth images.
