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Object Detection in Autonomous Vehicles: Status and Open Challenges

Object Detection in Autonomous Vehicles: Status and Open Challenges

19 January 2022
Abhishek Balasubramaniam
S. Pasricha
ArXivPDFHTML

Papers citing "Object Detection in Autonomous Vehicles: Status and Open Challenges"

19 / 19 papers shown
Title
UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles
UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles
Abhishek Balasubramaniam
Febin P. Sunny
S. Pasricha
3DPC
39
0
0
08 Jan 2025
Evaluating the Adversarial Robustness of Detection Transformers
Evaluating the Adversarial Robustness of Detection Transformers
A. Nazeri
Chunheng Zhao
P. Pisu
AAML
37
1
0
25 Dec 2024
Optimizing Multispectral Object Detection: A Bag of Tricks and
  Comprehensive Benchmarks
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks
Chen Zhou
Peng Cheng
Junfeng Fang
Y. Zhang
Yibo Yan
X. Jia
Yanyan Xu
K. Wang
Xiaochun Cao
68
0
0
27 Nov 2024
Benchmarking Deep Learning Models for Object Detection on Edge Computing
  Devices
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices
Daghash K. Alqahtani
Aamir Cheema
Adel N. Toosi
19
4
0
25 Sep 2024
Engineering an Efficient Object Tracker for Non-Linear Motion
Engineering an Efficient Object Tracker for Non-Linear Motion
Momir Adzemovic
Predrag Tadić
Andrija Petrović
Mladen Nikolic
21
1
0
30 Jun 2024
Improving Object Detector Training on Synthetic Data by Starting With a
  Strong Baseline Methodology
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank Ruis
Alma M. Liezenga
Friso G. Heslinga
Luca Ballan
Thijs A. Eker
Richard J. M. den Hollander
Martin C. van Leeuwen
Judith Dijk
Wyke Huizinga
31
4
0
30 May 2024
LLM-Optic: Unveiling the Capabilities of Large Language Models for
  Universal Visual Grounding
LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Grounding
Haoyu Zhao
Wenhang Ge
Ying-cong Chen
ObjD
MLLM
VLM
32
4
0
27 May 2024
Hardware Accelerators for Autonomous Cars: A Review
Hardware Accelerators for Autonomous Cars: A Review
Ruba Islayem
Fatima Alhosani
Raghad Hashem
Afra Alzaabi
Mahmoud Meribout
27
1
0
26 Apr 2024
Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
Soikat Hasan Ahmed
Jan Finkbeiner
Emre Neftci
36
0
0
15 Mar 2024
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object
  Tracking
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking
Momir Adzemovic
Predrag Tadić
Andrija Petrović
Mladen Nikolic
29
4
0
15 Feb 2024
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable
  Error Detection in Deep Neural Networks
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks
Florian Geissler
S. Qutub
Michael Paulitsch
Karthik Pattabiraman
19
5
0
31 Oct 2023
Object level footprint uncertainty quantification in infrastructure
  based sensing
Object level footprint uncertainty quantification in infrastructure based sensing
A. Kusari
Asma Almutairi
M. Gilbert
D. Leblanc
11
0
0
24 Aug 2023
Deep Directly-Trained Spiking Neural Networks for Object Detection
Deep Directly-Trained Spiking Neural Networks for Object Detection
Qiaoyi Su
Yuhong Chou
Yifan Hu
Jianing Li
Shijie Mei
Ziyang Zhang
Guoqiu Li
ObjD
11
67
0
21 Jul 2023
Interpretable Computer Vision Models through Adversarial Training:
  Unveiling the Robustness-Interpretability Connection
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection
Delyan Boychev
AAML
18
1
0
04 Jul 2023
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic
  Distance Enhances Open World Object Detection
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
T. Doan
Xin Li
Sima Behpour
Wenbin He
Liangke Gou
Liu Ren
10
7
0
25 Jun 2023
Robust Perception Architecture Design for Automotive Cyber-Physical
  Systems
Robust Perception Architecture Design for Automotive Cyber-Physical Systems
Joydeep Dey
S. Pasricha
3DV
23
7
0
17 May 2022
Roadmap for Cybersecurity in Autonomous Vehicles
Roadmap for Cybersecurity in Autonomous Vehicles
Vipin Kumar Kukkala
S. V. Thiruloga
S. Pasricha
28
29
0
19 Jan 2022
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
669
0
24 Jan 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
363
0
20 Jan 2021
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