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09/11/2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation
Autonomous vehicles (AV) require that neural networks used for perceptio...
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07/04/2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
Given a small training data set and a learning algorithm, how much more ...
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04/11/2022
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation
In this paper, we propose M^2BEV, a unified framework that jointly perfo...
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12/09/2021
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
Evaluating and improving planning for autonomous vehicles requires scala...
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11/15/2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
Autonomous driving relies on a huge volume of real-world data to be labe...
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09/13/2021
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
In this work, we address the problem of jointly estimating albedo, norma...
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04/30/2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation
Realistic simulators are critical for training and verifying robotics sy...
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11/21/2020
Emergent Road Rules In Multi-Agent Driving Environments
For autonomous vehicles to safely share the road with human drivers, aut...
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10/19/2020
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes
A high-performing object detection system plays a crucial role in autono...
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08/13/2020
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
The goal of perception for autonomous vehicles is to extract semantic re...
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05/25/2020
Learning to Simulate Dynamic Environments with GameGAN
Simulation is a crucial component of any robotic system. In order to sim...
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04/19/2020
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Variants of accuracy and precision are the gold-standard by which the co...
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05/10/2019