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Run-time Monitoring of 3D Object Detection in Automated Driving Systems
  Using Early Layer Neural Activation Patterns

Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns

11 April 2024
Hakan Yekta Yatbaz
M. Dianati
K. Koufos
Roger Woodman
    3DPC
ArXivPDFHTML

Papers citing "Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns"

22 / 22 papers shown
Title
SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving
SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving
A. Ramesh
Aitor Correas-Serrano
María A. González-Huici
18
2
0
27 May 2024
Run-time Introspection of 2D Object Detection in Automated Driving
  Systems Using Learning Representations
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations
Hakan Yekta Yatbaz
M. Dianati
K. Koufos
Roger Woodman
61
3
0
02 Mar 2024
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Chengjie Huang
Van Duong Nguyen
Vahdat Abdelzad
Christopher Gus Mannes
Luke Rowe
Benjamin Therien
Rick Salay
Krzysztof Czarnecki
OODD
3DPC
167
18
0
28 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
189
157
0
20 Sep 2022
3D Object Detection for Autonomous Driving: A Comprehensive Survey
3D Object Detection for Autonomous Driving: A Comprehensive Survey
Jiageng Mao
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
72
213
0
19 Jun 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and
  Learning-based Fault Detection and Identification
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification
Pasquale Antonante
Heath Nilsen
Luca Carlone
61
24
0
22 May 2022
Open-set 3D Object Detection
Open-set 3D Object Detection
Jun Cen
Peng Yun
Junhao Cai
M. Y. Wang
Meilin Liu
3DPC
33
38
0
02 Dec 2021
Post-hoc Models for Performance Estimation of Machine Learning Inference
Post-hoc Models for Performance Estimation of Machine Learning Inference
Xuechen Zhang
Samet Oymak
Jiasi Chen
UQCV
32
5
0
06 Oct 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
84
51
0
05 Jan 2021
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object
  Detection
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
Di Feng
Zining Wang
Yiyang Zhou
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
Masayoshi Tomizuka
Wei Zhan
19
22
0
18 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
43
225
0
20 Nov 2020
Monitoring and Diagnosability of Perception Systems
Monitoring and Diagnosability of Perception Systems
Pasquale Antonante
David I. Spivak
Luca Carlone
45
31
0
11 Nov 2020
Eigen-CAM: Class Activation Map using Principal Components
Eigen-CAM: Class Activation Map using Principal Components
Mohammed Bany Muhammad
M. Yeasin
27
339
0
01 Aug 2020
Center-based 3D Object Detection and Tracking
Center-based 3D Object Detection and Tracking
Tianwei Yin
Xingyi Zhou
Philipp Krahenbuhl
3DPC
43
1,581
0
19 Jun 2020
Cooperative Perception for 3D Object Detection in Driving Scenarios
  using Infrastructure Sensors
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors
Eduardo Arnold
M. Dianati
R. de Temple
Saber Fallah
3DPC
20
237
0
18 Dec 2019
Can We Trust You? On Calibration of a Probabilistic Object Detector for
  Autonomous Driving
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
Di Feng
Lars Rosenbaum
Claudius Glaeser
Fabian Timm
Klaus C. J. Dietmayer
UQCV
3DPC
24
39
0
26 Sep 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
216
5,653
0
26 Mar 2019
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign
  Detectors
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors
Q. Rahman
Niko Sünderhauf
Feras Dayoub
18
33
0
15 Mar 2019
PointPillars: Fast Encoders for Object Detection from Point Clouds
PointPillars: Fast Encoders for Object Detection from Point Clouds
Alex H. Lang
Sourabh Vora
Holger Caesar
Lubing Zhou
Jiong Yang
Oscar Beijbom
3DPC
49
3,413
0
14 Dec 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Feng Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
VLM
96
2,112
0
12 May 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural
  Network For Lidar 3D Vehicle Detection
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
Di Feng
Lars Rosenbaum
Klaus C. J. Dietmayer
3DPC
UQCV
47
244
0
13 Apr 2018
Failing to Learn: Autonomously Identifying Perception Failures for
  Self-driving Cars
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
41
104
0
30 Jun 2017
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