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2006.09348
Cited By
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
16 June 2020
S. Manivasagam
Shenlong Wang
K. Wong
Wenyuan Zeng
Mikita Sazanovich
Shuhan Tan
Binh Yang
Wei-Chiu Ma
R. Urtasun
3DPC
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Papers citing
"LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World"
25 / 125 papers shown
Title
Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
Ziqi Pang
Zhichao Li
Naiyan Wang
3DPC
17
34
0
10 Mar 2021
Learning to Drop Points for LiDAR Scan Synthesis
Kazuto Nakashima
Ryo Kurazume
3DPC
14
26
0
23 Feb 2021
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
74
30
0
18 Jan 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas
Abbas Sadat
R. Urtasun
3DV
22
222
0
18 Jan 2021
Adversarial Attacks On Multi-Agent Communication
James Tu
Tsun-Hsuan Wang
Jingkang Wang
S. Manivasagam
Mengye Ren
R. Urtasun
AAML
85
59
0
17 Jan 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
151
224
0
17 Jan 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang
Ava Pun
James Tu
S. Manivasagam
Abbas Sadat
Sergio Casas
Mengye Ren
R. Urtasun
32
161
0
16 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
111
126
0
16 Jan 2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
Yun Chen
Frieda Rong
Shivam Duggal
Shenlong Wang
Xinchen Yan
S. Manivasagam
Shangjie Xue
Ersin Yumer
R. Urtasun
19
97
0
16 Jan 2021
SceneGen: Learning to Generate Realistic Traffic Scenes
Shuhan Tan
K. Wong
Shenlong Wang
S. Manivasagam
Mengye Ren
R. Urtasun
18
100
0
16 Jan 2021
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models
Abhishek Mohta
Fang-Chieh Chou
Brian C. Becker
Carlos Vallespi-Gonzalez
Nemanja Djuric
88
3
0
09 Jan 2021
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing
Xintao Yan
Shuo Feng
Haowei Sun
Henry X. Liu
29
25
0
08 Jan 2021
ISETAuto: Detecting vehicles with depth and radiance information
Zhenyi Liu
J. Farrell
B. Wandell
16
12
0
06 Jan 2021
There and Back Again: Learning to Simulate Radar Data for Real-World Applications
Rob Weston
Oiwi Parker Jones
Ingmar Posner
23
18
0
29 Nov 2020
Emergent Road Rules In Multi-Agent Driving Environments
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
23
11
0
21 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
223
0
20 Nov 2020
Recovering and Simulating Pedestrians in the Wild
Ze Yang
S. Manivasagam
Ming Liang
Binh Yang
Wei-Chiu Ma
R. Urtasun
25
13
0
16 Nov 2020
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu
Mengye Ren
James Tu
Jingkang Wang
R. Urtasun
24
63
0
10 Nov 2020
Weakly-supervised 3D Shape Completion in the Wild
Jiayuan Gu
Wei-Chiu Ma
S. Manivasagam
Wenyuan Zeng
Zihao Wang
Yuwen Xiong
Hao Su
R. Urtasun
3DPC
29
51
0
20 Aug 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
Tsun-Hsuan Wang
S. Manivasagam
Ming Liang
Binh Yang
Wenyuan Zeng
James Tu
R. Urtasun
12
384
0
17 Aug 2020
DSDNet: Deep Structured self-Driving Network
Wenyuan Zeng
Shenlong Wang
Renjie Liao
Yun Chen
Binh Yang
R. Urtasun
21
97
0
13 Aug 2020
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
K. Wong
Qiang Zhang
Ming Liang
Binh Yang
Renjie Liao
Abbas Sadat
R. Urtasun
16
20
0
13 Aug 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
3DV
35
191
0
13 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
34
44
0
03 Aug 2020
Deep Generative Modeling of LiDAR Data
Lucas Caccia
H. V. Hoof
Aaron Courville
Joelle Pineau
3DPC
153
75
0
04 Dec 2018
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