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Detecting Road Obstacles by Erasing Them [article]

Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
2021 arXiv   pre-print
Vehicles can encounter a myriad of obstacles on the road, and it is impossible to record them all beforehand to train a detector.  ...  Instead, we select image patches and inpaint them with the surrounding road texture, which tends to remove obstacles from those patches.  ...  We thank Miros law Lis for assistance in the collection of the Road Obstacles dataset.  ... 
arXiv:2012.13633v2 fatcat:df7z43iofjanpafl7gebk7mt7u

CoR-SketchAR: Cooperative Sketch-Based Real-Time Augmented Reality Authoring Tool for Crowd Simulation

Gahyeon Kim, Mankyu Sung
2022 Applied Sciences  
CoR-SketchAR, instead, creates an urban AR environment by drawing sketches with easily altered dry-erase marker. Then, system recognizes the shapes and colors of the sketches automatically.  ...  After recognizing them, the system then automatically creates a 3D environment, and crowds are animated accordingly.  ...  The Douglas-Peucker algorithm allows us to classify a linear line from a set of detected points by approximating the distance between vertices.  ... 
doi:10.3390/app12157416 fatcat:dtqbgruljjckhddcdj7q3gh2oe

VEHICLE DENSITY SENSOR SYSTEM TO MANAGE TRAFFIC

Ashwini Basavaraju .
2014 International Journal of Research in Engineering and Technology  
In this study, we adapt the approach to take data/input/image from object/ subject/vehicle and to process the input data by Computer and Microcontroller and finally display it on the traffic light signal  ...  Advantages of VIPs are that they are mounted above the road instead of in the road, the placement of vehicle detection zones can be made by the operator, the shape of the detection zones can be programmed  ...  Traffic parameters may include vehicle flow rate, average vehicle velocity as well as detection of obstacles and standstill.  ... 
doi:10.15623/ijret.2014.0303106 fatcat:euwpcdzplferxaw76jfy657244

Autonomous Car using Raspberry PI and Ml

2020 International journal of recent technology and engineering  
The Raspberry Pi has functionalities like, traffic signal detection, vehicle detection, pedestrian detection, road sign detection, which aids the proposed system in arriving the proposed or specified place  ...  Assembled robot body by assembling the chassis and wheels of robot car, soldering the motors and fixed them in the chassis, fixed Raspberry Pi, Arduino Uno, motor driver and made the required circuit connections  ...  Obstacle detection and avoidance. 10. The same method is used to detect traffic lights. 11. Control the Arduino.  ... 
doi:10.35940/ijrte.b4033.079220 fatcat:2oiyblwwjndmhohkn64hhaznwq

A novel intelligent vehicle risk assessment method combined with multi-sensor fusion in dense traffic environment

Xunjia Zheng, Bin Huang, Daiheng Ni, Qing Xu
2018 Journal of Intelligent and Connected Vehicles  
Purpose -The purpose of this paper is to accurately capture the risks which are caused by each road user in time.  ...  Then, they conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis  ...  of the obstacle j.  ... 
doi:10.1108/jicv-02-2018-0004 fatcat:jaqu7oue6jffddsfn4skqjedpe

Design and Implementation of Microcontroller Based Mobility Aid for Visually Impaired People

2016 International Journal of Science and Research (IJSR)  
The system was designed, programmed with assembly language and tested for accuracy and checked by the visually impaired person.  ...  The system consists of special detection sensors, AT89C52 microcontroller for receiving, processing and sending signals to the alarm system which finally alerts the user for prompt action.  ...  The cane can only detect obstacles but cannot provide cognitive and psychological support. There exists only beep sound that triggers any obstacles and there is no assistance to direct them.  ... 
doi:10.21275/v5i6.nov164233 fatcat:wk5dxm2gvjbotfw22pnwpzwwhu

MACHINE LEARNING BASED ROAD DETECTION FROM HIGH RESOLUTION IMAGERY

Ye Lv, Guofeng Wang, Xiangyun Hu
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
So, roads' ROIs are firstly detected by using Houghline detection and buffering method to narrow down the detecting area.  ...  Roads in high-resolution images are more complex, patterns of roads vary a lot, which becomes obstacles for road extraction. In this paper, a machine learning based strategy is presented.  ...  Introduction Road has a special shape, it is a long stripe with width. By using shape analysis, the non-road segments can be erased. In this paper, three norms are used.  ... 
doi:10.5194/isprs-archives-xli-b3-891-2016 fatcat:mojqb2shrfaqjlw6q4soqzvghi

MACHINE LEARNING BASED ROAD DETECTION FROM HIGH RESOLUTION IMAGERY

Ye Lv, Guofeng Wang, Xiangyun Hu
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
So, roads' ROIs are firstly detected by using Houghline detection and buffering method to narrow down the detecting area.  ...  Roads in high-resolution images are more complex, patterns of roads vary a lot, which becomes obstacles for road extraction. In this paper, a machine learning based strategy is presented.  ...  Introduction Road has a special shape, it is a long stripe with width. By using shape analysis, the non-road segments can be erased. In this paper, three norms are used.  ... 
doi:10.5194/isprsarchives-xli-b3-891-2016 fatcat:bynaalak3bcaxcj6enra77jg3y

Artificially Intelligent Self-Driven Car with Obstacle Avoidance

Asif Mehmood Muhamad Awais
2020 Zenodo  
This article is About Artificially Intelligent Self-Driven Car with Obstacle Avoidance.  ...  The aim of the Project is to design and create an automated self-Driven car that can also be controlled by desktop application via internet.  ...  Ultrasonic sensors help to avoid the obstacles during the drive. The ultrasonic sensors are placed on car right, left, front, and back and also at Ground to detect earth surface.  ... 
doi:10.5281/zenodo.5005167 fatcat:leotw2bj7fcdvcarejclttmyza

Effective Free-Driving Region Detection for Mobile Robots by Uncertainty Estimation Using RGB-D Data

Toan-Khoa Nguyen, Phuc Thanh-Thien Nguyen, Dai-Dong Nguyen, Chung-Hsien Kuo
2022 Sensors  
Accurate segmentation of drivable areas and road obstacles is critical for autonomous mobile robots to navigate safely in indoor and outdoor environments.  ...  Thus, this paper presents a solution to these issues by proposing a self-supervised learning method for the drivable areas and road anomaly segmentation.  ...  Additionally, the uncertainty could be treated as a pixel-level uncertainty score to detect road obstacles, as introduced by [13, 15] .  ... 
doi:10.3390/s22134751 pmid:35808244 pmcid:PMC9268933 fatcat:mrzqz6kms5hprlghy7jqyo67di

Traffic Density Analysis using Image Processing

Ashwini R., Jaya H., Samiksha A., Shruti S.
2018 International Journal of Computer Applications  
The colors of majority of vehicles observed on roads are white, silver, and black. The roads also are cement based or tar-based those make them an obstacle in traditional systems.  ...  For traditional techniques that are been used over years have a few challenges including the color of the road and obstacles such as shadow and illumination.  ...  and detected on roads.  ... 
doi:10.5120/ijca2018917102 fatcat:j3fps2if25gfpfgjiywc5dsc4e

Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis

G. Toulminet, M. Bertozzi, S. Mousset, A. Bensrhair, A. Broggi
2006 IEEE Transactions on Image Processing  
Index Terms-Extraction of three-dimensional (3-D) edges of obstacle, platooning, stereo vision, vehicle detection.  ...  These 3-D vertical features are then used as a starting point for preceding vehicle detection; by using a symmetry operator, a match against a simplified model of a rear vehicle's shape is performed using  ...  In Fig. 3 , most of them have been erased. D. Identification of 3-D Shapes The identification of the 3-D shapes as edges of obstacles or not has been conceived as a cooperation of two methods.  ... 
doi:10.1109/tip.2006.875174 pmid:16900690 fatcat:mq5visknnbc23bkorir7lwnap4

An Urban Autodriving Algorithm Based on a Sensor-Weighted Integration Field with Deep Learning

Oh, Cha, Bae, Lim
2020 Electronics  
Thus, a vehicle can be successfully maneuvered with minimized steering angle change, without lane or route departure, and without obstacle collision in the presence of diverse disturbances in urban road  ...  Thus, lanes can be recognized by extending lanes for special characteristics in urban settings, in which the lanes can be obscured or erased, or the vehicle can drive in any direction.  ...  be obscured or erased.  ... 
doi:10.3390/electronics9010158 fatcat:26siafxytjbqlp6wcocpnexlbi

Smart Assistive Device for Visually Impaired People

Syed Tehzeeb Alam, Sonal Shrivastava, Syed Tanzim Alam, R. Sasikala
2015 International Journal of Engineering Research and  
The developed model aims to guide the blind person and prevent them from unwanted collisions with the obstacles through pre-recorded voice commands hence providing an active feedback.  ...  Daily activities are hampered by their inability to conceive to their surroundings.  ...  We have accomplished the goal by adding an IR Ranging sensor to the white cane to detect obstacles above the ground level.  ... 
doi:10.17577/ijertv4is030921 fatcat:v4nsqqph6vhjbglcpesbursaz4

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation [article]

Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2021 arXiv   pre-print
Identifying unexpected objects on roads in semantic segmentation (e.g., identifying dogs on roads) is crucial in safety-critical applications.  ...  One possible alternative is to use prediction scores of a pre-trained network such as the max logits (i.e., maximum values among classes before the final softmax layer) for detecting such objects.  ...  Proposed Method This section presents our approach for detecting unexpected road obstacles.  ... 
arXiv:2107.11264v4 fatcat:oeoru3dp6vg5vfv4skjumb4r7i
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