Robust Military Vehicle Detection under Partial Occlusion with Synthetic Data

2021 ◽  
Vol 27 (11) ◽  
pp. 519-530
Author(s):  
Sunyoung Cho
Keyword(s):  
Synthetic Data ◽  
Vehicle Detection ◽  
Partial Occlusion ◽  
Military Vehicle

Edge device based Military Vehicle Detection and Classification from UAV

2021 ◽  
Author(s):  
Priyanka Gupta ◽  
Bhavya Pareek ◽  
Gaurav Singal ◽  
D. Vijay Rao
Keyword(s):  
Vehicle Detection ◽  
Military Vehicle

scholarly journals COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 255-263
Author(s):  
Y. Yuan ◽  
M. Sester
Keyword(s):  
Synthetic Data ◽  
Simulated Data ◽  
Vehicle Detection ◽  
Ground Truth ◽  
Autonomous Driving ◽  
Superior Performance ◽  
Detection Accuracy ◽  
Data Set ◽  
Cloud Data ◽  
Data Generator

Abstract. Collective perception of connected vehicles can sufficiently increase the safety and reliability of autonomous driving by sharing perception information. However, collecting real experimental data for such scenarios is extremely expensive. Therefore, we built a computational efficient co-simulation synthetic data generator through CARLA and SUMO simulators. The simulated data contain image and point cloud data as well as ground truth for object detection and semantic segmentation tasks. To verify the superior performance gain of collective perception over single-vehicle perception, we conducted experiments of vehicle detection, which is one of the most important perception tasks for autonomous driving, on this data set. A 3D object detector and a Bird’s Eye View (BEV) detector are trained and then test with different configurations of the number of cooperative vehicles and vehicle communication ranges. The experiment results showed that collective perception can not only dramatically increase the overall mean detection accuracy but also the localization accuracy of detected bounding boxes. Besides, a vehicle detection comparison experiment showed that the detection performance drop caused by sensor observation noise can be canceled out by redundant information collected by multiple vehicles.

An AHP-Based Evaluating Model to Evaluate Intelligent Vehicle Detection Technologies in Street Parking Scenario

CICTP 2018 ◽  
2018 ◽  
Author(s):  
Xuejin Wan ◽  
Shangfo Huang ◽  
Bowen Du ◽  
Rui Sun ◽  
Jiong Wang ◽  
...  
Keyword(s):  
Vehicle Detection ◽  
Intelligent Vehicle ◽  
Detection Technologies

Feature and Box Propagation for Video Vehicle Detection

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yanni Yang ◽  
Huansheng Song ◽  
Zhe Dai ◽  
Wentao Zhang ◽  
Yan Chen
Keyword(s):  
Vehicle Detection

Acoustic Signal Based Automatic Vehicle Detection System

2012 ◽  
Vol 2 (4) ◽  
pp. 88-89
Author(s):  
Sai Sandeep.k Sai Sandeep.k ◽  
◽  
P. Vijay Kumar
Keyword(s):  
Acoustic Signal ◽  
Detection System ◽  
Vehicle Detection
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