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09/28/2021
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies
In this paper we present the first safe system for full control of self-...
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07/16/2021
Autonomy 2.0: Why is self-driving always 5 years away?
Despite the numerous successes of machine learning over the past decade ...
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06/25/2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset
We present the largest self-driving dataset for motion prediction to dat...
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11/29/2017
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
We present PointFusion, a generic 3D object detection method that levera...
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01/05/2016
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
We consider the problem of learning preferences over trajectories for mo...
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01/05/2016
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Advanced Driver Assistance Systems (ADAS) have made driving safer over t...
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11/17/2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Deep Recurrent Neural Network architectures, though remarkably capable a...
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09/16/2015
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Anticipating the future actions of a human is a widely studied problem i...
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04/10/2015
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Advanced Driver Assistance Systems (ADAS) have made driving safer over t...
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12/01/2014
RoboBrain: Large-Scale Knowledge Engine for Robots
In this paper we introduce a knowledge engine, which learns and shares k...
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06/10/2014
PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback
We consider the problem of learning user preferences over robot trajecto...
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06/26/2013