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08/02/2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
A self-driving vehicle (SDV) must be able to perceive its surroundings a...
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11/04/2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
The task of motion forecasting is critical for self-driving vehicles (SD...
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04/08/2021
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
Self-driving vehicles must perceive and predict the future positions of ...
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01/20/2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
In order to plan a safe maneuver, self-driving vehicles need to understa...
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01/18/2021
MP3: A Unified Model to Map, Perceive, Predict and Plan
High-definition maps (HD maps) are a key component of most modern self-d...
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01/17/2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
Over the last few years, we have witnessed tremendous progress on many s...
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01/17/2021
End-to-end Interpretable Neural Motion Planner
In this paper, we propose a neural motion planner (NMP) for learning to ...
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01/17/2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simulation has the potential to massively scale evaluation of self-drivi...
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01/16/2021
Diverse Complexity Measures for Dataset Curation in Self-driving
Modern self-driving autonomy systems heavily rely on deep learning. As a...
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01/16/2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
As self-driving systems become better, simulating scenarios where the au...
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01/16/2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Self-driving vehicles need to anticipate a diverse set of future traffic...
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01/07/2021
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
In this paper, we address the important problem in self-driving of forec...
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11/12/2020
StrObe: Streaming Object Detection from LiDAR Packets
Many modern robotics systems employ LiDAR as their main sensing modality...
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08/13/2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
In this paper we propose a novel end-to-end learnable network that perfo...
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07/28/2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
We tackle the problem of exploiting Radar for perception in the context ...
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07/23/2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
In order to plan a safe maneuver an autonomous vehicle must accurately p...
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06/04/2020
The Importance of Prior Knowledge in Precise Multimodal Prediction
Roads have well defined geometries, topologies, and traffic rules. While...
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05/29/2020
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
We tackle the problem of joint perception and motion forecasting in the ...
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10/18/2019
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
In this paper, we tackle the problem of relational behavior forecasting ...
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10/17/2019