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Vehicle Image Generation Going Well with The Surroundings [article]

Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak
2021 arXiv   pre-print
Since the generative neural networks have made a breakthrough in the image generation problem, lots of researches on their applications have been studied such as image restoration, style transfer and image  ...  Unlike many other works, our method does not require any segmentation layout but still makes a plausible vehicle in the image.  ...  Consequently, our method can generate objects going well with the surroundings in arbitrary locations. This is highly expected to be foundation research for image augmentation research.  ... 
arXiv:1807.02925v4 fatcat:4jvyietewbg3xn2wyiadq6ctha

360° Surround View System with Parking Guidance

Mengmeng Yu, Guanglin Ma
2014 SAE International Journal of Commercial Vehicles  
If any part of the object is located inside of the polygon, the host vehicle is going to crash with the object and the driver has to adjust the start position of host vehicle.  ...  In addition, a unique parking guidance feature is applied on the surround view scene by utilizing steering wheel angle information as well as vehicle speed information.  ... 
doi:10.4271/2014-01-0157 fatcat:or5t3atevbblvi646rqeeayxiq

Panorama-Based Multilane Recognition for Advanced Navigation Map Generation

Ming Yang, Xiaolin Gu, Hao Lu, Chunxiang Wang, Lei Ye
2015 Mathematical Problems in Engineering  
The results from the surround view system help to filter the optical flow and optimize the ego-motion parameters; other vehicles are detected by the optical flow feature.  ...  Firstly, to deal with the limited field of view and the occlusion problem, this paper designs a vision-based sensing system which consists of a surround view system and a panoramic system.  ...  if the For the reason that the host vehicle itself occupies a large area in a surround view image, some information on the road is blocked; however, an image with only lane markings and traffic signs  ... 
doi:10.1155/2015/713753 fatcat:x4jovgamtbgsxjwp4oxy6lpiia

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks [article]

Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2019 arXiv   pre-print
The method encodes each actor's surrounding context into a raster image, used as input by deep convolutional networks to automatically derive relevant features for the task.  ...  To ensure safe and efficient operations, an autonomous vehicle is required to account for this uncertainty and to anticipate a multitude of possible behaviors of traffic actors in its surrounding.  ...  The approach first generates a raster image encoding surrounding context of each vehicle actor and uses a CNN model to output several possible trajectories along with their probabilities.  ... 
arXiv:1809.10732v2 fatcat:dpxciokq2fdynjf6efmrw4zrjq

Autonomous Driving: Using a Vision based Approach

Sailesh Sidhwani, Monika Malkotiya, Nakul Korde, Swapnil Unde, M. B. Salunke
2014 International Journal of Computer Applications  
Further, techniques are illustrated to plan the path of the vehicle by applying complex transform equations on the circular images appearing on the mirror captured by the camera.  ...  Driving a vehicle is essentially a subconscious task performed by any human merely with the use of his vision and intelligence.  ...  A single 2 dimensional camera is used which is coupled with a convex mirror in order to generate an image that provides an image that displays a complete 360° view of the surrounding environment.  ... 
doi:10.5120/16068-5186 fatcat:pxza556kqzaxjboouv5m5cleiy

Virtual to Real Reinforcement Learning for Autonomous Driving [article]

Xinlei Pan, Yurong You, Ziyan Wang, Cewu Lu
2017 arXiv   pre-print
The proposed network can convert non-realistic virtual image input into a realistic one with similar scene structure.  ...  However, training autonomous driving vehicle with reinforcement learning in real environment involves non-affordable trial-and-error.  ...  Training autonomous driving cars in real world will cause damages to vehicles and the surroundings.  ... 
arXiv:1704.03952v4 fatcat:jpf3nidnifct7i64fbfjwtgdra

Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety

Mohan Manubhai Trivedi, Tarak Gandhi, Joel McCall
2007 IEEE transactions on intelligent transportation systems (Print)  
We will discuss various issues and ideas for developing models for these main components as well as activities associated with the complex task of safe driving.  ...  This paper includes a discussion of novel sensory systems and algorithms for capturing not only the dynamic surround information of the vehicle but also the state, intent, and activity patterns of drivers  ...  ACKNOWLEDGMENT The authors would like to thank their colleagues at the Computer Vision and Robotics Research Laboratory for their cooperation, assistance, and contributions.  ... 
doi:10.1109/tits.2006.889442 fatcat:i4zdittsa5aflhwznktqdthppe

Learning multi-lane trajectories using vehicle-based vision

Sayanan Sivaraman, Brendan Morris, Mohan Trivedi
2011 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)  
Safe operation of a motor vehicle requires awareness of the current traffic situation as well as the ability to predict future maneuvers.  ...  The vehicles' full trajectories are recorded, and a data-driven learning framework has been applied to automatically learn surround behaviors.  ...  The beginnings of typical routes are marked with a green O, and the ends are marked with a red X. On the driver side (left), are surround vehicles passing (e.g.  ... 
doi:10.1109/iccvw.2011.6130503 dblp:conf/iccvw/SivaramanMT11 fatcat:sgft323uvrahxk2jz3mlt3hcsy

Pathfinder Vision: Tele-operation Robot Interface in Consideration of Geometry for Supporting Future Prediction [article]

Naoya Maeda, Jun Morita, Maki Sugimoto
2014 ICAT-EGVE 2014 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments  
This interface assists operators by planning the future routes of the robot by presenting images which take into consideration the physical obstructions of the surrounding environment.  ...  By visualizing the predicted future with occlusion, our proposed methods makes it possible to prevent collisions while operating tele-operated robots.  ...  This lead to the development of tele-operated robots capable of perceiving both the surrounding environment and its position, as well as an operating interface that uses third person view image generated  ... 
doi:10.2312/ve.20141361 fatcat:gsfibrudnjavnnjgesdwkuak2i

Dataset Evaluation for Multi Vehicle Detection using Vision Based Techniques

Julkar Nine, Aarti Kishor Anapunje
2021 Embedded Selforganising Systems  
Vehicle detection is one of the primal challenges of modern driver-assistance systems owing to the numerous factors, for instance, complicated surroundings, diverse types of vehicles with varied appearance  ...  This paper suggests a Vehicle Detection algorithm developed on Image Processing and Machine Learning.  ...  Hypothesis Generation deals with determining the region in an image where the object might exist, whereas Hypothesis Verification deals with confirmation of vehicle in an image in a specific Region of  ... 
doi:10.14464/ess.v8i2.492 fatcat:34hbg2l5tjfklhp3offzpleowa

Towards the Automation of Visual Inspections of Cargo Holds of Large-Tonnage Vessels

Alberto Ortiz, Francisco Bonnin-Pascual, Emilio Garcia-Fidalgo, Joan P. Company-Corcoles, Kai Yao
2019 Zenodo  
The vehicle is equipped with specific sensors that are to permit teleporting the surveyor to the areas that need inspection.  ...  This paper describes a \emph{Micro-Aerial Vehicle} (MAV) intended for the visual inspection of cargo holds, whose development, among others, takes place within the context of the EU-funded H2020 project  ...  velocity and height, as well as the distances to the closest obstacles surrounding the platform.  ... 
doi:10.5281/zenodo.4408314 fatcat:agfszdlrcrb4fbmas5s7bjd4wa

Visual Inspection of Vessels Cargo Holds: Use of a Micro-Aerial Vehicle as a Smart Assistant

Alberto Ortiz, Francisco Bonnin-Pascual, Emilio Garcia-Fidalgo, Joan P. Company-Corcoles, Kai Yao
2019 Zenodo  
To this end, the vehicle is equipped with specific sensors that are to permit teleporting the surveyor to the areas that need inspection, while the focus of the control software is on providing enhanced  ...  , with the purpose of making ship inspections safer and more cost-efficient.  ...  velocity and height, as well as the distances to the closest obstacles surrounding the platform.  ... 
doi:10.5281/zenodo.4262105 fatcat:6ux23ars2jh6bif4xumka3sktu

Model-free Deep Reinforcement Learning for Urban Autonomous Driving [article]

Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
2019 arXiv   pre-print
We evaluate our method in a challenging roundabout task with dense surrounding vehicles in a high-definition driving simulator.  ...  However, current RL methods generally do not work well on complex urban scenarios.  ...  The approaches are evaluated under two cases: without and with adding surrounding vehicles. A.  ... 
arXiv:1904.09503v2 fatcat:wxfrqwuowvhihh3h75mixlcyie

A photo-realistic driving simulation system for mixed-reality traffic experiment space

S. Ono, K. Ogawara, M. Kagesawa, H. Kawasaki, M. Onuki, J. Abeki, T. Yano, M. Nerio, K. Honda, K. Ikeuchi
2005 IEEE Proceedings. Intelligent Vehicles Symposium, 2005.  
Images for datesets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. And the view for the system is created by synthesizing the image dataset.  ...  We introduce our image/geometry-based hybrid method to realize more photo-realistic view with less human cost at the same time.  ...  IMG is a module to produce driver's surrounding view in real-time from the position and pose of self/surrounding vehicles. The detail is described in the following.  ... 
doi:10.1109/ivs.2005.1505194 fatcat:7kdxd67trrh43psm6csxf2tauu

Towards Reliable Multisensory Perception and Its Automotive Applications

András Rövid, Viktor Remeli, Norbert Paufler, Henrietta Lengyel, Máté Zöldy, Zsolt Szalay
2020 Periodica Polytechnica Transportation Engineering  
vehicle's surroundings must reliably be recognized and localized), thus the perception might be considered as one of the most critical subsystems in an autonomous vehicle.  ...  driving models and an example of taking decisions in multi-criterial traffic situations that are complex for both human drivers and for the self-driving vehicles as well.  ...  Acknowledgement The research reported in this paper was supported by the Higher Education Excellence Program in the frame of Artificial Intelligence research area of Budapest University of Technology and  ... 
doi:10.3311/pptr.15921 fatcat:3cl66sjo4veffntqt7kia6k3ey
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