Download or read book Predicting Vehicle Trajectory written by Cesar Barrios and published by CRC Press. This book was released on 2017-03-03 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on improving the prediction of a vehicle’s future trajectory, particularly on non-straight paths. Having an accurate prediction of where a vehicle is heading is crucial for the system to reliably determine possible path intersections of more than one vehicle at the same time. The US DOT will be mandating that all vehicle manufacturers begin implementing V2V and V2I systems, so very soon collision avoidance systems will no longer rely on line of sight sensors, but instead will be able to take into account another vehicle’s spatial movements to determine if the future trajectories of the vehicles will intersect at the same time. Furthermore, the book introduces the reader to some improvements when predicting the future trajectory of a vehicle and presents a novel temporary solution on how to speed up the implementation of such V2V collision avoidance systems. Additionally, it evaluates whether smartphones can be used for trajectory predictions, in an attempt to populate a V2V collision avoidance system faster than a vehicle manufacturer can.

Download or read book Vehicle Trajectory Predictions Using Monocular Depth and Pose Estimations written by Abraham Yesgat and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In recent years, autonomous driving has become one of the most studied topics in the field of computer vision and machine learning. Various problems have been studied, such as object detection, motion prediction, or even collision detection. This thesis focuses on the specific problem of predicting the motion of agents on the road based on their surroundings. Most modern autonomous driving solutions require costly sensors such as LiDAR. This thesis attempts to predict vehicle trajectories using only RGB images captured by an ego vehicle, bypassing the need for costly sensors. We utilize both pose and depth estimation values to predict the trajectory (i.e. positions and orientations) of agents in a scene. Our research on agent trajectory predictions is divided into two stages. In the first stage, only a single vehicle (i.e the ego vehicle) is considered for trajectory prediction (Single-Agent Trajectory predictions). We present a baseline 2D kinematics model that extrapolates the future coordinates of the agent, based on its history. We then improve on the results by using our novel convolutional neural network (CNN), EgoResNet3D, extracting spatio-temporal information pertaining to the ego vehicle's surroundings to predict its trajectory. In the second stage of the project, we predict trajectories for all detected agents in the scene as well as the ego vehicle (Multi-Agent Trajectory predictions). Once again, we present a 2D kinematics baseline model to predict the trajectories of all the agents. We then improve on its results by using Transformer architectures and Attention mechanisms for multi-agent trajectory predictions"--

Download or read book Design Science at the Intersection of Physical and Virtual Design written by Jan vom Brocke and published by Springer. This book was released on 2013-06-21 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2013, held in Helsinki, Finland, in June 2013. The 24 full papers, 8 research-in-progress papers, 12 short papers, and 8 poster abstracts were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on system integration and design; meta issues; business process management and ERP; theory development; emerging themes; green IS and service management; method engineering; papers describing products and prototypes; and work-in-progress papers.

Download or read book Vehicle Trajectory Prediction for Safe Navigation of Autonomous Vehicles written by Saptarishi Mukherjee and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 2021 IEEE 93rd Vehicular Technology Conference VTC2021 Spring written by IEEE Staff and published by . This book was released on 2021-04-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this conference will include the following fields of interests Antenna Systems, Propagation, and RF Design, Signal Transmission and Reception, Spectrum Sharing, Spectrum Management, and Cognitive Radio, Multiple Antenna Systems and Cooperative Communications, Radio Access Technology and Heterogeneous Networks, Green Communications and Networks, IoT, M2M, Sensor Networks, and Ad Hoc Networking, Wireless Networks Protocols, Security and Services, Positioning, Navigation and Mobile Satellite System, Unmanned Aerial Vehicle Communications, Vehicular Networks, and Telematics, Electric Vehicles, Vehicular Electronics, and Intelligent Transportation, Future Trends, and Emerging Technologies

Download or read book Pervasive Systems Algorithms and Networks written by Christian Esposito and published by Springer Nature. This book was released on 2019-11-26 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2019, held in Naples, Italy, in September 2019. The 32 full papers and 8 short papers were carefully reviewed and selected from 89 submissions. The papers focus on all aspects of: big data analytics & machine learning; cyber security; cloud fog & edge computing; communication solutions; high performance computing and applications; consumer cyber security; and vehicular technology.

Download or read book Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles written by Jaskaran Virdi and published by . This book was released on 2018 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a part of developing autonomous vehicles and better Advanced driver assistance systems (ADAS), it is important to consider how the spatio-temporal activities of other agents in the environment like pedestrians, vehicles, etc. which are competing for space on roads might impact the motion planning performance of the vehicle . A system which can predict future obstacle trajectories as well as warn the driver or the autonomous vehicle about an impending collision will lead to safer roads and save lives. Previous vehicle trajectory prediction approaches use motion models which have assumptions like constant velocity or constant acceleration which doesn't generalize well. Our approach is completely data driven and gives promising results for predicting trajectory of the obstacle up to 2 seconds in the future using a deep recurrent neural network. Taking inspiration from the recent success of sequence-to-sequence models in language translation we apply sequence-to-sequence recurrent neural networks to the new problem of trajectory prediction. The proposed scheme feeds the sequence of obstacles' past trajectory data obtained from sensors like LIDAR and GPS to the LSTM and predicts the position of the obstacle at future time steps. We use the KITTI dataset which provides us with annotated trajectory data for learning and evaluation.

Download or read book Group and Crowd Behavior for Computer Vision written by Vittorio Murino and published by Academic Press. This book was released on 2017-04-18 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition. The book answers many unresolved issues in group and crowd behavior, with Part One providing an introduction to the problems of analyzing groups and crowds that stresses that they should not be considered as completely diverse entities, but as an aggregation of people. Part Two focuses on features and representations with the aim of recognizing the presence of groups and crowds in image and video data. It discusses low level processing methods to individuate when and where a group or crowd is placed in the scene, spanning from the use of people detectors toward more ad-hoc strategies to individuate group and crowd formations. Part Three discusses methods for analyzing the behavior of groups and the crowd once they have been detected, showing how to extract semantic information, predicting/tracking the movement of a group, the formation or disaggregation of a group/crowd and the identification of different kinds of groups/crowds depending on their behavior. The final section focuses on identifying and promoting datasets for group/crowd analysis and modeling, presenting and discussing metrics for evaluating the pros and cons of the various models and methods. This book gives computer vision researcher techniques for segmentation and grouping, tracking and reasoning for solving group and crowd modeling and analysis, as well as more general problems in computer vision and machine learning. Presents the first book to cover the topic of modeling and analysis of groups in computer vision Discusses the topics of group and crowd modeling from a cross-disciplinary perspective, using social science anthropological theories translated into computer vision algorithms Focuses on group and crowd analysis metrics Discusses real industrial systems dealing with the problem of analyzing groups and crowds

Download or read book Green Connected Automated Transportation and Safety written by Wuhong Wang and published by Springer Nature. This book was released on 2021-12-13 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings gather selected papers from the 11th International Conference on Green Intelligent Transportation Systems and Safety, held in Beijing, China on October 17-19, 2020. The book features cutting-edge studies on Green Intelligent Mobility Systems, the guiding motto being to achieve “green, intelligent, and safe transportation systems”. The contributions presented here can help promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility and efficiency. Given its scope, the book will benefit researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. The readers will be able to find out the Advances in Green Intelligent Transportation System and Safety.

Download or read book Proceedings of the 2018 International Symposium on Experimental Robotics written by Jing Xiao and published by Springer Nature. This book was released on 2020-01-22 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: In addition to the contributions presented at the 2018 International Symposium on Experimental Robotics (ISER 2018), this book features summaries of the discussions that were held during the event in Buenos Aires, Argentina. These summaries, authored by leading researchers and session organizers, offer important insights on the issues that drove the symposium debates. Readers will find cutting-edge experimental research results from a range of robotics domains, such as medical robotics, unmanned aerial vehicles, mobile robot navigation, mapping and localization, field robotics, robot learning, robotic manipulation, human–robot interaction, and design and prototyping. In this unique collection of the latest experimental robotics work, the common thread is the experimental testing and validation of new ideas and methodologies. The International Symposium on Experimental Robotics is a series of bi-annual symposia sponsored by the International Foundation of Robotics Research, whose goal is to provide a dedicated forum for experimental robotics research. In recent years, robotics has broadened its scientific scope, deepened its methodologies and expanded its applications. However, the significance of experiments remains at the heart of the discipline. The ISER gatherings are an essential venue where scientists can meet and have in-depth discussions on robotics based on this central tenet.

Download or read book Movement Trajectory Predicting Device and Movement Trajectory Predicting Method written by Masayuki Katoh and published by . This book was released on 2020-12-28 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: An object of the invention is to accurately predict a movement trajectory of an object from a history of positions of the object even in a case where shaking or deflection of a vehicle occurs. In order to achieve the object, in the invention, the position of the object around the vehicle is acquired (S1), a ground speed of the object is acquired (S3), a slope .theta. of a trajectory prediction vector (relative movement vector) of the object with respect to the vehicle is calculated by using a speed of the vehicle and the ground speed of the object (S7), fitting is performed (classification of the recorded positions of the object in the movement trajectory) with respect to the history of the positions of the object with a straight line having the slope .theta. of the trajectory prediction vector (S8), and a straight line having the slope .theta. of the position fitting best in the straight line having the slope .theta. (straight line having a plurality of positions included in a group classified through the fitting) is predicted as the movement trajectory of the object (S9).

Download or read book Artificial Intelligence and Computational Intelligence written by Jingsheng Lei and published by Springer. This book was released on 2012-08-24 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume proceedings contains revised selected papers from the 4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. The total of 163 high-quality papers presented were carefully reviewed and selected from 724 submissions. The papers are organized into topical sections on applications of artificial intelligence, applications of computational intelligence, data mining and knowledge discovery, evolution strategy, expert and decision support systems, fuzzy computation, information security, intelligent control, intelligent image processing, intelligent information fusion, intelligent signal processing, machine learning, neural computation, neural networks, particle swarm optimization, and pattern recognition.

Download or read book 2021 IEEE International Conference on Computer Science Electronic Information Engineering and Intelligent Control Technology CEI written by IEEE Staff and published by . This book was released on 2021-09-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: CEI 2021 will bring together top professionals from industry, government, and academia from around the world CEI 2021 includes invited talks, oral presentations and poster presentations of refereed papers We invite submissions of papers and abstracts on all topics related to consumer electronics and computer engineering The conference will provide networking opportunities for participants to share ideas, designs, and experiences on the state of the art and future direction of consumer technologies and computer technology CEI 2021 will feature a high quality technical & experiential program dealing with a mix of traditional and contemporary hot topics in paper presentations and high profile keynotes

Download or read book Incremental Learning for Motion Prediction of Pedestrians and Vehicles written by Alejandro Dizan Vasquez Govea and published by Springer Science & Business Media. This book was released on 2010-06-23 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the problem of moving in a cluttered environment with pedestrians and vehicles. A framework based on Hidden Markov models is developed to learn typical motion patterns which can be used to predict motion on the basis of sensor data.

Download or read book Probabilistic Maneuver Recognition in Traffic Scenarios written by Firl, Jonas and published by KIT Scientific Publishing. This book was released on 2015-01-07 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle's trajectories while driving dynamic.

Download or read book Predicting Trajectory Paths For Collision Avoidance Systems written by Cesar Barrios and published by . This book was released on 2015 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work was motivated by the idea of developing a more encompassing collision avoidance system that supported vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. Current systems are mostly based on line of sight sensors that are used to prevent a collision, but these systems would prevent even more accidents if they could detect possible collisions before both vehicles were in line of sight. For this research we concentrated mostly on the aspect of improving the prediction of a vehicle's future trajectory, particularly on non-straight paths. Having an accurate prediction of where the vehicle is heading is crucial for the system to reliably determine possible path intersections of more than one vehicle at the same time. We first evaluated the benefits of merging Global Positioning System (GPS) data with the Geographical Information System (GIS) data to correct improbable predicted positions. We then created a new algorithm called the Dead Reckoning with Dynamic Errors (DRWDE) sensor fusion, which can predict future positions at the rate of its fastest sensor, while improving the handling of accumulated error while some of the sensors are offline for a given period of time. The last part of out research consisted in the evaluation of the use of smartphones' built-in sensors to predict a vehicle's trajectory, as a possible intermediate solution for a vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications, until all vehicles have all the necessary sensors and communication infrastructure to fully populate this new system. For the first part of our research, the actual experimental results validated our proposed system, which reduced the position prediction errors during curves to around half of what it would be without the use of GIS data for prediction corrections. The next improvement we worked on was the ability to handle change in noise, depending on unavailable sensor measurements, permitting a flexibility to use any type of sensor and still have the system run at the fastest frequency available. Compared to a more common KF implementation that run at the rate of its slowest sensor (1Hz in our setup), our experimental results showed that our DRWDE (running at 10Hz) yielded more accurate predictions (25-50% improvement) during abrupt changes in the heading of the vehicle. The last part of our research showed that, comparing to results obtained with the vehicle-mounted sensors, some smartphones yield similar prediction errors and can be used to predict a future position.

Download or read book 2021 21st International Conference on Control Automation and Systems ICCAS written by and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: