Driver Assistance Systems
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The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.
The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...
The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical ...
Microwave theory, techniques, and applications as they relate to components, devices, circuits, and systems involving the generation, transmission, and detection of microwaves.
2015 International Conference on Connected Vehicles and Expo (ICCVE), 2015
Advanced driver assistance systems (ADASs) are making continuous progress in order to solve issues in vehicle traffic. However, drivers cannot adjust to these advances, because ADAS can assist even complicated driving behaviors that require higher skills. The more advanced the driving interactions ADAS can perform, the more risk the system may have when used by drivers who have insufficient knowledge ...
2016 International SoC Design Conference (ISOCC), 2016
This paper proposes a new haze-removal scheme for automotive applications. In contrast that the previous works focus on enhancing the quality of haze-free images, the proposed algorithm sharpens the edges of lanes by adopting the weighting filter. Moreover, the previous internal steps, which cannot improve the sharpness of lanes, are removed to reduce the computing overheads. As a result, the ...
2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016
This paper presents novel hardware architecture with low-complexity color conversion scheme and parallel processing of red region detection for the applications of automatic traffic sign detection system. By the inherent parallelism of the various red region detections, we designed a fully pipelined architecture implemented on the FPGA platform. The proposed architecture enables a real-time traffic sign recognition (TSR) processing for ...
2001 ADAS. International Conference on Advanced Driver Assistance Systems, (IEE Conf. Publ. No. 483), 2001
2016 24th Telecommunications Forum (TELFOR), 2016
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard ...
2015 IEEE Honors: IEEE Medal for Environmental and Safety Technologies
Analog Devices SP4T RF MEMS Switch with Integrated Driver Circuitry for RF Instrumentation: MicroApps 2015 - Analog Devices
P2020 Establishing Image Quality Standards for Automotive
IRDS: More Moore Outbrief - Mustafa Badaroglu at INC 2019
Critical use cases for video capturing systems in autonomous driving applications
Teaching assistance through social robotics for ASD
EMBC 2011-Course-Virtual Reality and Robotics in Neurorehabilitation-William Zev Rymer
Surgical Robotics: Robotic assistance in minimally invasive and endoluminal interventions
CASS Lecture with Dr. Claude Gauthier, "Automotive Ethernet and Functional Safety"
Talking Dog Can Save Lives: IEEE @ SXSW 2017
The Memory of Cars Talk by Tom Coughlin
ISSCC 2012 - Carmelo Papa Plenary
Keynote Pindar Wong: Calculating Consensus Reality For an Internet of Trust: WF-IoT 2016
IEEE PELS Webinar Series-Galvanic Isolation for Power Supply Applications
The DLR MiroSurge, a Robotic System for Surgery
ICRA 2020 Keynote - Human-Centred Social Robotics: Autonomy, Trust and Interaction Challenges
IMS 2011 Microapps - Calibration and Accuracy in Millimeter Systems
IEEE @ SXSW 2015 - Lessons from Africa: Relationships Over Privacy
Open Systems Architecture for RF and Microwave Technologies: MicroApps 2015 - Mercury Systems
Advanced driver assistance systems (ADASs) are making continuous progress in order to solve issues in vehicle traffic. However, drivers cannot adjust to these advances, because ADAS can assist even complicated driving behaviors that require higher skills. The more advanced the driving interactions ADAS can perform, the more risk the system may have when used by drivers who have insufficient knowledge of the system. Thus, it is important to establish teaching or training methods, which enable drivers to become educated about ADAS. In this study, we developed a driving simulator for teaching or training drivers. Using the driving simulator, the drivers can make the most of ADAS, the use of which will become more widespread and advanced. In this paper, the importance of teaching and training for driver is explained first. Details of the driving simulator developed in this study are then described. Finally, the results of the simulation development are summarized.
This paper proposes a new haze-removal scheme for automotive applications. In contrast that the previous works focus on enhancing the quality of haze-free images, the proposed algorithm sharpens the edges of lanes by adopting the weighting filter. Moreover, the previous internal steps, which cannot improve the sharpness of lanes, are removed to reduce the computing overheads. As a result, the proposed haze-removal algorithm improves the sharpness of lanes remarkably, while providing the real-time image processing for advanced driver assistance systems.
This paper presents novel hardware architecture with low-complexity color conversion scheme and parallel processing of red region detection for the applications of automatic traffic sign detection system. By the inherent parallelism of the various red region detections, we designed a fully pipelined architecture implemented on the FPGA platform. The proposed architecture enables a real-time traffic sign recognition (TSR) processing for a full-HD video (2 Mega pixels) at 60 frames per second.
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation systems. Our approach is based on combination of computer vision algorithms for face detection and eyes detection. Additionally, we have tested our implementation in controlled environment on a real ADAS platform board.
Implementing convolutional neural networks for scene labelling is a current hot topic in the field of advanced driver assistance systems. The massive computational demands under hard real-time and energy constraints can only be tackled using specialized architectures. Also, cost-effectiveness is an important factor when targeting lower quantities. In this PhD thesis, a vector processor architecture optimized for FPGA devices is proposed. Amongst other hardware mechanisms, a novel complex operand addressing mode and an intelligent DMA are used to increase perfromance. Also, a C-compiler support for creating applications is introduced.
With the rapid technology development of systems that assist drivers, the lack of uniform support for efficient algorithm development has emerged. We propose a universal Software Development Kit (SDK) concept with common optimization routines that can be applied to typical Advanced Driver Assistance Systems (ADAS) algorithms. The evaluation confirmed that the SDK decreased execution time for ADAS algorithms and works seamlessly across different embedded architectures.
Curb detection is an important research topic in environment perception, which is an essential part of Autonomous Land Vehicles (ALV) and Unmanned Ground Vehicle (UGV) operations. Also, curb detection is specifically a component in Advanced Driver Assistance Systems (ADAS) that is assisting drivers in parking their cars without hitting the concrete curbs/parking blocks. In this paper a novel curb detection algorithm is developed by using Canny edge detection along with Hough transform. A CMOS camera fixed at the bottom part of the mesh grill, which is at the center of the front bumper, is used to acquire images. The camera is interfaced with a computer running an algorithm based on the Canny edge detector and Hough Transform to detect the edges of the curb. The developed program is also capable of measuring the distance from the car front end to the curb. Distance calculations are established based on a calibration technique, where rows within the camera image frame are mapped to corresponding distances in front of the vehicle, assuming a flat terrain. The method is able to detect curbs robustly in typical static and dynamic environments in real vehicle experiments.
Advanced Driver Assistance Systems (ADAS) have great potential to enhance road safety and improve driving comfort. This paper presents the design concept of ADAS by comparing ADAS with traditional vehicle safety technologies. The concept shows that driver acceptance makes a great difference to the safety impact of ADAS. According to this conclusion, this paper also proposes the design method of ADAS. This design method covers naturalistic driving data collection, algorithms development based on PreScan, driving simulator evaluation and field tests evaluation.
The development and test of advanced driver assistance systems (ADAS)present a challenge due to their complexity and dependency on other vehicle systems, initial conditions and their environment. Testing ADAS under real conditions leads to significant efforts and costs. Therefore, virtual prototyping and simulation are widely used instruments for developing such complex systems. One of these useful virtual prototyping tools are driving simulators.Driving simulators are usually special purpose facilities, which are developed by suppliers individually for a specific application purpose. Most of the conventional driving simulators provide some flexibility for constructing new test scenarios, but do not allow users to change system arrangementor add or remove subsystems without indepth know-how of the driving simulator structure.This paper describes the concept and main idea of a reconfigurable driving simulator for testing ADAS. The key software, hardware, and resource components of the driving simulator are identified, the interfaces and the relationships between the key components are described, and the overall system structure for the reconfigurable driving simulator is introduced.
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