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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
Sivabalan Manivasagam
,
Shenlong Wang
, Kelvin Wong
, Wenyuan Zeng
, Mikita Sazanovich
, Shuhan Tan
, Bin Yang
, Wei Chiu Ma
, Raquel Urtasun
Research output
:
Contribution to journal
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Conference article
›
peer-review
Overview
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Dive into the research topics of 'LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World'. Together they form a unique fingerprint.
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Keyphrases
3D Dynamic
50%
3D Scene
50%
Algorithm Testing
50%
Closed-loop
50%
Deep Neural Network
50%
Dynamic Object
100%
Learning-based
50%
LiDAR Point Cloud
100%
LiDAR Simulation
100%
Long Tail
50%
Perception Algorithm
50%
Physics Learning
50%
Physics-based
50%
Physics-based Simulation
50%
Procedural Model
50%
Ray Casting
50%
Realistic Simulation
100%
Safety-critical
50%
Self-driving
50%
Self-driving Cars
100%
Static Map
50%
Tail Events
50%
Virtual Worlds
50%
Computer Science
3d Scenes
50%
Computer Aided Design
50%
Deep Neural Network
50%
Point Cloud
100%
Procedural Model
50%
Social Sciences
Computer Aided Design
100%
Neural Network
100%
Physics
Computer Aided Design
50%
Neural Network
50%
Physics
100%