Field dossier · from the corpus

Perception

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

201813,947 citationsDOI ↗

Unified Perceptual Parsing for Scene Understanding

20182,104 citationsDOI ↗

A survey of deep learning techniques for autonomous driving

20191,807 citationsDOI ↗

End-to-end training of deep visuomotor policies

20161,637 citations

Self-driving cars: A survey

20201,220 citationsDOI ↗

Planning-oriented Autonomous Driving

2023914 citationsDOI ↗

Signals

45

Papers · in corpus

40k

Citations · corpus total

0.0%

Recent share · since 2024

2016–2023

Span · publication years

Who is doing the work

Stanford UniversityUS8
Chinese Academy of SciencesCN6
Massachusetts Institute of TechnologyUS6
Meta (United States)US6
University of California, BerkeleyUS5
Intel (United States)US5
ETH ZurichCH5
Georgia Institute of TechnologyUS5

Most published researchers

Alexei A. Efros1
Richard Zhang1
Phillip Isola1
Oliver Wang1
Filipe Wall Mutz1
Luan F. R. Jesus1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Artificial intelligence18 Human–computer interaction7 Neuromorphic engineering6 Robot6 Neuroscience6 Optogenetics4 Computer vision4 Deep learning3 Artificial neural network3 Sensory system3