activity
20192025
most citedMBEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

87 citations · 115 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 7 cited

Emergent Road Rules In Multi-Agent Driving Environments

Avik Pal, Jonah Philion, Yuan-Hong Liao +1

For autonomous vehicles to safely share the road with human drivers, autonomous vehicles must abide by specific "road rules" that human drivers have agreed to follow. "Road rules"…

cs.CV2020★ 6 cited

The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes

Yiluan Guo, Holger Caesar, Oscar Beijbom +2

A high-performing object detection system plays a crucial role in autonomous driving (AD). The performance, typically evaluated in terms of mean Average Precision, does not take in…

cs.CV2020★ 3 cited

Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D

Jonah Philion, Sanja Fidler

The goal of perception for autonomous vehicles is to extract semantic representations from multiple sensors and fuse these representations into a single "bird's-eye-view" coordinat…

cs.CV2020

Learning to Simulate Dynamic Environments with GameGAN

Seung Wook Kim, Yuhao Zhou, Jonah Philion +2

Simulation is a crucial component of any robotic system. In order to simulate correctly, we need to write complex rules of the environment: how dynamic agents behave, and how the a…

cs.CV2020

Learning to Evaluate Perception Models Using Planner-Centric Metrics

Jonah Philion, Amlan Kar, Sanja Fidler

Variants of accuracy and precision are the gold-standard by which the computer vision community measures progress of perception algorithms. One reason for the ubiquity of these met…