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Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in
  Autonomous Vehicles

Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles

16 April 2021
Ionel Gog
Sukrit Kalra
Peter Schafhalter
Matthew A. Wright
Joseph E. Gonzalez
Ion Stoica
ArXivPDFHTML

Papers citing "Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles"

35 / 35 papers shown
Title
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
X. Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
Bandwidth Allocation for Cloud-Augmented Autonomous Driving
Bandwidth Allocation for Cloud-Augmented Autonomous Driving
Peter Schafhalter
Alexander Krentsel
Joseph E. Gonzalez
Sylvia Ratnasamy
S. Shenker
Ion Stoica
79
0
0
26 Mar 2025
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
D. Humeniuk
Foutse Khomh
73
0
0
26 Mar 2025
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving
Alexander Krentsel
Peter Schafhalter
Joseph E. Gonzalez
Sylvia Ratnasamy
S. Shenker
Ion Stoica
23
0
0
21 Oct 2024
VALO: A Versatile Anytime Framework for LiDAR-based Object Detection
  Deep Neural Networks
VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks
Ahmet Soyyigit
Shuochao Yao
Heechul Yun
3DPC
40
1
0
17 Sep 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU
  Reconfiguration
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang
Sheng Li
Bingyao Li
Yuezhen Dai
Ao Li
Geng Yuan
Yufei Ding
Youtao Zhang
Xulong Tang
40
0
0
18 Jul 2024
DεpS: Delayed ε-Shrinking for Faster Once-For-All
  Training
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
Aditya Annavajjala
Alind Khare
Animesh Agrawal
Igor Fedorov
Hugo Latapie
Myungjin Lee
Alexey Tumanov
CLL
42
0
0
08 Jul 2024
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for
  End-to-End Autonomous Driving
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving
Yiqun Duan
Xianda Guo
Zheng Zhu
Zhen Wang
Yu-Kai Wang
Chin-Teng Lin
34
2
0
13 May 2024
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving
  Imitation Learning with LLMs
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
Yiqun Duan
Qiang Zhang
Renjing Xu
38
9
0
07 Apr 2024
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for
  the 4th level
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Sven Ochs
Jens Doll
Daniel Grimm
Tobias Fleck
Marc Heinrich
...
Daniel Bogdoll
Florian Kuhnt
Philip Schorner
M. Zofka
J. Marius Zöllner
21
5
0
03 Apr 2024
Genie: Smart ROS-based Caching for Connected Autonomous Robots
Genie: Smart ROS-based Caching for Connected Autonomous Robots
Zexin Li
Soroush Bateni
Cong Liu
37
1
0
29 Feb 2024
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
Alind Khare
Dhruv Garg
Sukrit Kalra
Snigdha Grandhi
Ion Stoica
Alexey Tumanov
31
3
0
27 Dec 2023
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving
  Systems
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems
Mohammad Hossein Amini
Shervin Naseri
Shiva Nejati
25
10
0
30 Nov 2023
Human-Centric Autonomous Systems With LLMs for User Command Reasoning
Human-Centric Autonomous Systems With LLMs for User Command Reasoning
Yi Yang
Qingwen Zhang
Ci Li
Daniel Simoes Marta
Nazre Batool
John Folkesson
LRM
70
29
0
14 Nov 2023
RED: A Systematic Real-Time Scheduling Approach for Robotic
  Environmental Dynamics
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics
Zexin Li
Tao Ren
Xiaoxi He
Cong Liu
29
7
0
29 Aug 2023
Reinforcement Learning Informed Evolutionary Search for Autonomous
  Systems Testing
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
D. Humeniuk
Foutse Khomh
G. Antoniol
25
4
0
24 Aug 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving?
  Towards System-Level Effect of Adversarial Object Evasion Attack
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
Ningfei Wang
Y. Luo
Takami Sato
Kaidi Xu
Qi Alfred Chen
AAML
24
33
0
23 Aug 2023
Leveraging Cloud Computing to Make Autonomous Vehicles Safer
Leveraging Cloud Computing to Make Autonomous Vehicles Safer
Peter Schafhalter
Sukrit Kalra
Le Xu
Joseph E. Gonzalez
Ion Stoica
18
17
0
06 Aug 2023
Interpretable End-to-End Driving Model for Implicit Scene Understanding
Interpretable End-to-End Driving Model for Implicit Scene Understanding
Yiyang Sun
Xiaonian Wang
Yangyang Zhang
Jiagui Tang
Xiaqiang Tang
Jing Yao
19
2
0
02 Aug 2023
COLA: Characterizing and Optimizing the Tail Latency for Safe Level-4
  Autonomous Vehicle Systems
COLA: Characterizing and Optimizing the Tail Latency for Safe Level-4 Autonomous Vehicle Systems
Haolan Liu
Zixuan Wang
Jishen Zhao
30
1
0
11 May 2023
A Framework for Benchmarking Real-Time Embedded Object Detection
A Framework for Benchmarking Real-Time Embedded Object Detection
M. Schlosser
D. König
Michael Teutsch
ObjD
24
0
0
23 Apr 2023
A Modular Platform For Collaborative, Distributed Sensor Fusion
A Modular Platform For Collaborative, Distributed Sensor Fusion
R. S. Hallyburton
Nate Zelter
David Hunt
Kristen Angell
Miroslav Pajic
25
2
0
13 Mar 2023
Reasoning-Based Software Testing
Reasoning-Based Software Testing
L. Giamattei
R. Pietrantuono
S. Russo
LRM
20
5
0
02 Mar 2023
SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural
  Controllers at the Edge
SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural Controllers at the Edge
Mohanad Odema
James Ferlez
Yasser Shoukry
Mohammad Abdullah Al Faruque
27
1
0
24 Feb 2023
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using
  Cooperative Co-Evolutionary Search
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search
S. Sharifi
Donghwan Shin
Lionel C. Briand
Nathan Aschbacher
10
3
0
31 Jan 2023
AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle
  Development
AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development
R. S. Hallyburton
Shucheng Zhang
Miroslav Pajic
16
10
0
28 Dec 2022
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
36
94
0
25 Oct 2022
Context-Aware Streaming Perception in Dynamic Environments
Context-Aware Streaming Perception in Dynamic Environments
Gur-Eyal Sela
Ionel Gog
J. Wong
Kumar Krishna Agrawal
Xiangxi Mo
...
Eric Leong
Xin Wang
Bharathan Balaji
Joseph E. Gonzalez
Ion Stoica
23
9
0
16 Aug 2022
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
Qingwen Zhang
Mingkai Tang
R. Geng
Feiyi Chen
Ren Xin
Lujia Wang
37
5
0
01 Jul 2022
Watch Out for the Safety-Threatening Actors: Proactively Mitigating
  Safety Hazards
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards
Saurabh Jha
Shengkun Cui
Zbigniew T. Kalbarczyk
R. Iyer
LLMSV
24
1
0
02 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
104
295
0
31 May 2022
Transfer Importance Sampling -- How Testing Automated Vehicles in
  Multiple Test Setups Helps With the Bias-Variance Tradeoff
Transfer Importance Sampling -- How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff
Max Winkelmann
Constantin Vasconi
Steffen Müller
22
4
0
15 Apr 2022
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous
  Vehicles
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
A. Piazzoni
Jim Cherian
Mohamed Azhar
Jing Yew Yap
James Lee Wei Shung
Roshan Vijay
13
17
0
06 Sep 2021
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in
  CMOS Image Sensors
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
S. Köhler
Giulio Lovisotto
S. Birnbach
Richard Baker
Ivan Martinovic
AAML
18
35
0
25 Jan 2021
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
243
3,466
0
21 Mar 2017
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