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LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous
  Driving

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving

20 March 2019
Gregory P. Meyer
A. Laddha
E. Kee
Carlos Vallespi-Gonzalez
Carl K. Wellington
    3DPC
ArXivPDFHTML

Papers citing "LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving"

40 / 90 papers shown
Title
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
Zhichao Li
Feng Wang
Naiyan Wang
3DPC
35
222
0
29 Mar 2021
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
Lue Fan
Xuan Xiong
Feng Wang
Nai-long Wang
Zhaoxiang Zhang
3DPC
39
219
0
18 Mar 2021
Radar Camera Fusion via Representation Learning in Autonomous Driving
Radar Camera Fusion via Representation Learning in Autonomous Driving
Xu Dong
Binnan Zhuang
Yunxiang Mao
Langechuan Liu
15
36
0
14 Mar 2021
Offboard 3D Object Detection from Point Cloud Sequences
Offboard 3D Object Detection from Point Cloud Sequences
C. Qi
Yin Zhou
Mahyar Najibi
Pei Sun
Khoa T. Vo
Boyang Deng
Dragomir Anguelov
3DPC
42
175
0
08 Mar 2021
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory
  Alignment
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
Fabian Duerr
Mario Pfaller
H. Weigel
Jürgen Beyerer
3DPC
23
33
0
03 Mar 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
141
407
0
31 Jan 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas
Abbas Sadat
R. Urtasun
3DV
33
223
0
18 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
208
840
0
20 Dec 2020
Accurate 3D Object Detection using Energy-Based Models
Accurate 3D Object Detection using Energy-Based Models
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
3DPC
38
10
0
08 Dec 2020
It's All Around You: Range-Guided Cylindrical Network for 3D Object
  Detection
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection
Meytal Rapoport-Lavie
D. Raviv
3DPC
36
20
0
05 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
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
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar
  Fusion
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
Meet Shah
Zhi-ling Huang
A. Laddha
Matthew Langford
B. Barber
Sidney Zhang
Carlos Vallespi-Gonzalez
R. Urtasun
27
36
0
02 Oct 2020
End-to-end Contextual Perception and Prediction with Interaction
  Transformer
End-to-end Contextual Perception and Prediction with Interaction Transformer
Lingyun Luke Li
Binh Yang
Ming Liang
Wenyuan Zeng
Mengye Ren
Sean Segal
R. Urtasun
ViT
26
117
0
13 Aug 2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
Bin Yang
Runsheng Guo
Mingfeng Liang
Sergio Casas
R. Urtasun
141
112
0
28 Jul 2020
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Jaeseok Choi
Yeji Song
Nojun Kwak
3DPC
35
63
0
27 Jul 2020
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Rui Huang
Wanyue Zhang
Abhijit Kundu
C. Pantofaru
David A. Ross
Thomas Funkhouser
Alireza Fathi
3DPC
32
81
0
24 Jul 2020
EPNet: Enhancing Point Features with Image Semantics for 3D Object
  Detection
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
Tengteng Huang
Zhe Liu
Xiwu Chen
X. Bai
3DPC
28
355
0
17 Jul 2020
Towards Better Performance and More Explainable Uncertainty for 3D
  Object Detection of Autonomous Vehicles
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles
Hujie Pan
Zining Wang
Wei Zhan
Masayoshi Tomizuka
UQCV
3DPC
28
27
0
22 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
51
83
0
10 Jun 2020
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object
  Detection
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
Alex Bewley
Pei Sun
Thomas Mensink
Dragomir Anguelov
C. Sminchisescu
3DPC
33
113
0
20 May 2020
Streaming Object Detection for 3-D Point Clouds
Streaming Object Detection for 3-D Point Clouds
Wei Han
Zhengdong Zhang
Benjamin Caine
Brandon Yang
Christoph Sprunk
O. Alsharif
Jiquan Ngiam
Vijay Vasudevan
Jonathon Shlens
Zhehuai Chen
3DPC
27
26
0
04 May 2020
Improving Movement Predictions of Traffic Actors in Bird's-Eye View
  Models using GANs and Differentiable Trajectory Rasterization
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization
E. Wang
Henggang Cui
S. Yalamanchi
M. Moorthy
Fang-Chieh Chou
Nemanja Djuric
47
22
0
14 Apr 2020
Probabilistic Oriented Object Detection in Automotive Radar
Probabilistic Oriented Object Detection in Automotive Radar
Xu Dong
Pengluo Wang
Pengyue Zhang
Langechuan Liu
24
52
0
11 Apr 2020
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A
  Review
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui
Ren‐Hao Chen
Wenbo Chu
Long Chen
Daxin Tian
Ying Li
Dongpu Cao
3DPC
32
386
0
10 Apr 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Rui Qian
Divyansh Garg
Yan Wang
Yurong You
Serge J. Belongie
B. Hariharan
M. Campbell
Kilian Q. Weinberger
Wei-Lun Chao
3DPC
28
171
0
07 Apr 2020
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
Mahyar Najibi
Guangda Lai
Abhijit Kundu
Zhichao Lu
V. Rathod
Thomas Funkhouser
C. Pantofaru
David A. Ross
L. Davis
Alireza Fathi
3DPC
35
49
0
02 Apr 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
30
104
0
20 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
56
164
0
01 Mar 2020
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via
  Firing of Hotspots
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen
Lin Sun
Zhixin Wang
Kui Jia
Alan Yuille
3DPC
173
169
0
30 Dec 2019
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Georg Krispel
M. Opitz
Georg Waltner
Horst Possegger
Horst Bischof
3DPC
14
67
0
18 Dec 2019
What You See is What You Get: Exploiting Visibility for 3D Object
  Detection
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu
Jason Ziglar
David Held
Deva Ramanan
3DPC
24
116
0
10 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
40
2,813
0
10 Dec 2019
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Gregory P. Meyer
Niranjan Thakurdesai
UQCV
25
60
0
24 Oct 2019
Object-Centric Stereo Matching for 3D Object Detection
Object-Centric Stereo Matching for 3D Object Detection
Alex D. Pon
Jason Ku
Chengyao Li
Steven L. Waslander
3DPC
29
85
0
17 Sep 2019
StarNet: Targeted Computation for Object Detection in Point Clouds
StarNet: Targeted Computation for Object Detection in Point Clouds
Jiquan Ngiam
Benjamin Caine
Wei Han
Brandon Yang
Yuning Chai
...
O. Alsharif
Patrick Nguyen
Zhehuai Chen
Jonathon Shlens
Vijay Vasudevan
3DPC
29
111
0
29 Aug 2019
Training a Fast Object Detector for LiDAR Range Images Using Labeled
  Data from Sensors with Higher Resolution
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution
M. Herzog
Klaus C. J. Dietmayer
3DPC
27
9
0
08 May 2019
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
Gregory P. Meyer
Jake Charland
Darshan Hegde
A. Laddha
Carlos Vallespi-Gonzalez
3DPC
31
129
0
25 Apr 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object
  Detectors
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
Ali Harakeh
Michael H. W. Smart
Steven L. Waslander
BDL
UQCV
26
115
0
09 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
989
0
21 Feb 2019
BirdNet: a 3D Object Detection Framework from LiDAR information
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltrán
Carlos Guindel
Francisco Miguel Moreno
Daniel Cruzado
F. García
A. D. L. Escalera
3DPC
145
251
0
03 May 2018
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