-
Deep Parametric Continuous Convolutional Neural Networks
Standard convolutional neural networks assume a grid structured input is...
01/17/2021 ∙ by Shenlong Wang, et al. ∙
17
∙
share
read it
-
End-to-end Interpretable Neural Motion Planner
In this paper, we propose a neural motion planner (NMP) for learning to ...
01/17/2021 ∙ by Wenyuan Zeng, et al. ∙
0
∙
share
read it
-
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simulation has the potential to massively scale evaluation of self-drivi...
01/17/2021 ∙ by Simon Suo, et al. ∙
0
∙
share
read it
-
StrObe: Streaming Object Detection from LiDAR Packets
Many modern robotics systems employ LiDAR as their main sensing modality...
11/12/2020 ∙ by Davi Frossard, et al. ∙
0
∙
share
read it
-
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
In order to plan a safe maneuver an autonomous vehicle must accurately p...
07/23/2020 ∙ by Sergio Casas, et al. ∙
5
∙
share
read it
-
The Importance of Prior Knowledge in Precise Multimodal Prediction
Roads have well defined geometries, topologies, and traffic rules. While...
06/04/2020 ∙ by Sergio Casas, et al. ∙
29
∙
share
read it
