Display:

Results

Viewing 1 to 30 of 529
2015-09-15
Technical Paper
2015-01-2471
Alessandro Ceruti, Simone Curatolo, Alessandro Bevilacqua, Piergiovanni Marzocca
Abstract The maturity reached in the development of Unmanned Air Vehicles (UAVs) systems is making them more and more attractive for a vast number of civil missions. Clearly, the introduction of UAVs in the civil airspace requiring practical and effective regulation is one of the most critical issues being currently discussed. As several civil air authorities report in their regulations “Sense and Avoid” or “Detect and Avoid” capabilities are critical to the successful integration of UAV into the civil airspace. One possible approach to achieve this capability, specifically for operations beyond the Line-of-Sight, would be to equip air vehicles with a vision-based system using cameras to monitor the surrounding air space and to classify other air vehicles flying in close proximity. This paper presents an image-based application for the supervised classification of air vehicles.
2015-09-15
Technical Paper
2015-01-2475
Francesco Cappello, Roberto Sabatini, Subramanian Ramasamy
Abstract Accurate and robust tracking of objects is of growing interest amongst the computer vision scientific community. The ability of a multi-sensor system to detect and track objects, and accurately predict their future trajectory is critical in the context of mission- and safety-critical applications. Remotely Piloted Aircraft System (RPAS) are currently not equipped to routinely access all classes of airspace since certified Detect-and-Avoid (DAA) systems are yet to be developed. Such capabilities can be achieved by incorporating both cooperative and non-cooperative DAA functions, as well as providing enhanced communications, navigation and surveillance (CNS) services. DAA is highly dependent on the performance of CNS systems for Detection, Tacking and avoiding (DTA) tasks and maneuvers.
2015-08-18
Magazine
The advent of stop-start technology As environmental concerns grow for R&D teams, OEMs look to bring the strategy further into the mainstream. Recycling opportunities for hybrid/electric vehicle lithium-ion batteries With limited reserves and strict environmental regulations, re-cyclers look to established extraction means to reuse, recycle, and dispose of the used batteries. Cameras look to go the distance Automakers seek vision systems with greater distances, improved reliability, and more functionality, thanks to ruggedized complementary metal-oxide semiconductor technologies. Getting right with composites With composites now a mainstay in most new aircraft de-signs, the engineering emphasis has switched from understanding if they work to thinking through the most efficient way to manufacture them, such as using design-for-manufacturing software.
2015-08-05
Magazine
Making sense of autonomy Industry offers a range of sensors that will free humans from many tasks while also improving reliability, though devising strategies that meet demanding requirements without breaking the bank is no easy challenge. Life-cycle planning-Design and calibration for ultimate efficiency The ultimate power of Big Data technologies relies on the implementation of new strategies. Unlike a traditional engine calibration process, in which only calibration test data and model simulation data are used, multiple source data introduced into the adaptive engine calibration process contributes to efficiency and cost reduction. The complicated future of off-highway engines Developing an optimum engine is getting tricky now that the European Union has established a Stage V for off-highway engines, and the U.S. has not. What effect will this have on future engine designs?
2015-06-29
WIP Standard
J1555
This SAE Recommended Practice applies to all portions of the vehicle, but design efforts should focus on components and systems with the highest contribution to the overall average repair cost (see 3.7). The costs to be minimized include not only insurance premiums, but also out-of-pocket costs incurred by the owner. Damageability, repairability, serviceability and diagnostics are inter-related. Some repairability, serviceability and diagnostics operations may be required for collision or comprehensive loss-related causes only, some operations for non-collision-related causes only (warranty, scheduled maintenance, non-scheduled maintenance, etc.), and some for both causes. The scope of this document deals with only those operations that involve collision and comprehensive insurance loss repairs.
2015-06-04
Standard
J2802_201506
This document specifies the minimum recommendations for Blind Spot Monitoring System (BSMS) operational characteristics and elements of the user interface. A visual BSMS indicator is recommended. BSMS detects and conveys to the driver via a visual indicator the presence of a target (e.g., a vehicle), adjacent to the subject vehicle in the “traditional” Adjacent Blind Spot Zone (ABSZ). The BSMS is not intended to replace the need for interior and exterior rear-view mirrors or to reduce mirror size. BSMS is only intended as a supplement to these mirrors and will not take any automatic vehicle control action to prevent possible collisions. While the BSMS will assist drivers in detecting the presence of vehicles in their ABSZ, the absence of a visual indicator will not guarantee that the driver can safely make a lane change maneuver (e.g., vehicles may be approaching rapidly outside the ABSZ area).
2015-05-20
Book
This is the electronic format of the Journal.
2015-04-15
Book
“Spotlight on Design: Insight” features an in-depth look at the latest technology breakthroughs impacting mobility. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. Automated driving is made possible through the data acquisition and processing of many different kinds of sensors working in unison. Sensors, cameras, radar, and lidar must work cohesively together to safely provide automated features. In the episode “Automated Vehicles: Converging Sensor Data” (8:01), engineers from IAV Automotive Engineering discuss the challenges associated with the sensor data fusion, and one of Continental North America’s technical teams demonstrate how sensors, radars, and safety systems converge to enable higher levels of automated driving.
2015-04-15
Book
“Spotlight on Design” features video interviews and case study segments, focusing on the latest technology breakthroughs. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. In the episode “Automated Vehicles: Sensors and Future Technologies” (24:31), highly automated driving is looked at in detail as the culmination of years of research in automotive technology, sensors, infrastructure, software, and systems integration. Real-life case studies show how organizations are actually developing solutions to the challenge of making cars safer with less driver intervention. IAV Automotive Engineering demonstrates how a highly automated vehicle capable of lane changing was created.
2015-04-14
Collection
Active Safety and Driver assistance systems are gaining importance as many passive safety systems have already been found to have yielded significant safety benefits that are possible from the deployment of those systems in the fleet. Similar success will much depend upon how fast these systems proliferate the entire passenger vehicle fleet. It will also depend on the deployment strategies used by the industry and the government as well as consumer acceptance and market demand for these systems. Additionally, opportunities exist to use the information gained from the various onboard sensors and vision systems in active safety systems for improving the effectiveness of today’s passive safety systems such as seat belts, airbags, and post-crash safety systems even further by the integration of active and passive safety systems.
2015-04-14
Technical Paper
2015-01-0217
William Buller, Rini Sherony, Brian Wilson, Michelle Wienert
Abstract To reduce the number and severity of accidents, automakers have invested in active safety systems to detect and track neighboring vehicles to prevent accidents. These systems often employ RADAR and LIDAR, which are not degraded by low lighting conditions. In this research effort, reflections from deer were measured using two sensors often employed in automotive active safety systems. Based on a total estimate of one million deer-vehicle collisions per year in the United States, the estimated cost is calculated to be $8,388,000,000 [1]. The majority of crashes occurs at dawn and dusk in the Fall and Spring [2]. The data includes tens of thousands of RADAR and LIDAR measurements of white-tail deer. The RADAR operates from 76.2 to 76.8 GHz. The LIDAR is a time-of-flight device operating at 905 nm. The measurements capture the deer in many aspects: standing alone, feeding, walking, running, does with fawns, deer grooming each other and gathered in large groups.
2015-04-14
Technical Paper
2015-01-0219
Rodrigo Felix, John Economou, Kevin Knowles
Abstract Starting January 2015 the government of the United Kingdom will allow driverless cars on public roads. From a first glance this can and should be seen as a great step towards the adoption of autonomous vehicles. Yet as any new technology driverless vehicles carry with them many new risks and disadvantages that need to be understood and protected against in order for the introduction of said systems into the market place to be a long lasting and fruitful one. The present work will look at the possible safety and security risks posed by the use of Light Detection and Ranging (LiDAR) systems on the open road, motivated by the fact that many projected autonomous vehicle concept systems rely on them for object detection and avoidance.
2015-04-14
Technical Paper
2015-01-0307
Hongfeng Wang, Lei He, Qianfei Liu, Changfu Zong
Abstract Nowadays active collision avoidance has become a major focus of research, and a variety of detection and tracking methods of obstacles in front of host vehicle have been applied to it. In this paper, laser radars are chosen as sensors to obtain relevant information, after which an algorithm used to detect and track vehicles in front is provided. The algorithm determines radar's ROI (Region of Interest), then uses a laser radar to scan the 2D space so as to obtain the information of the position and the distance of the targets which could be determined as obstacles. The information obtained will be filtered and then be transformed into cartesian coordinates, after that the coordinate point will be clustered so that the profile of the targets can be determined. A threshold will be set to judge whether the targets are obstacles or not. Last Kalman filter will be used for target tracking. To verify the presented algorithm, related experiments have been designed and carried out.
2015-04-14
Technical Paper
2015-01-1406
Mikael Ljung Aust, Lotta Jakobsson, Magdalena Lindman, Erik Coelingh
Abstract This paper first discusses the advancement and challenges in the areas of developing Collision Avoidance Systems, or CAS. CAS have been on the market for a decade, and their development has been rapid. Starting with forward collision warning with brake support, targeting vehicles moving in the same direction in front of the car, CAS now cover pedestrians and cyclists in front of the car as well as vehicles standing still and even some situations of approaching vehicles in crossings. This development up to date is described and discussed according to the challenge areas of detection, decision strategy and intervention strategy. Next, the paper discusses assessment of system effects on driving safety. Numerous studies have tried to predict the effect of various CAS, and the real world effect of these systems has been shown to be significant.
2015-04-14
Technical Paper
2015-01-1414
Jitendra Shah, Mohamed Benmimoun
Abstract The focus of this paper is the threat assessment of perceived threat by drivers in collision avoidance situations. The understanding of the decision making process with regards to the initiation of a driver intervention is a crucial step to gain insight into driver's steering and braking behavior in case of an imminent threat (rear-end collision). Hence a study with various test subjects and a test vehicle has been conducted. The study has helped to understand how drivers behave in potential rear-end collision situations arising from the traffic situation (e.g. start of a traffic jam). This information is of major importance for designing autonomous collision avoidance systems and an important step towards autonomous driving. Autonomous driving in vehicles require system interventions to be initiated as early and safely as possible in order to avoid the collision and to avoid unstable vehicle dynamics situations.
2015-04-14
Journal Article
2015-01-0313
Ugo Rosolia, Francesco Braghin, Andrew Alleyne, Edoardo Sabbioni
Abstract This paper presents a nonlinear control approach to achieve good performances in vehicle path following and collision avoidance when the vehicle is driving under cruise highway conditions. Nonlinear model predictive control (NLMPC) is adopted to achieve online trajectory control based on a simplified vehicle model. GMRES/Continuation algorithm is used to solve the online optimization problem. Simulations show that the proposed controller is capable of tracking the desired path as well as avoiding the obstacles.
2015-01-14
Technical Paper
2015-26-0006
Ramsundar K Ganesan, Dilip Krishna Natesan, Arjun Raj, Nambiraj Sekar, Nardhini Shanmuga Sundaram
Abstract This paper presents an image processing approach to detect obstacles on road using a monocular IR camera. Since potholes and speed bumps are the two major obstacles on roads, the proposed method focuses mainly on detecting them. Shadows are the major challenge in image processing because their presence in the image frame may lead to false results. A simple method to compensate shadows has also been proposed. Open Source Computer Vision (OpenCV), developed by Intel is used for implementation of the algorithm. The major target application area could be the powered two wheeler segment in emerging markets, where potholes and speed bumps might be a potential cause for accidents. Another application can be to upload the pothole information on to a cloud to provide intelligent navigation information via Global Positioning System (GPS).
2014-11-24
WIP Standard
J2400
Forward Collision Warning (FCW) systems are onboard systems intended to provide alerts to assist drivers in avoiding striking the rear end of another moving or stationary motorized vehicle. This SAE Information Report describes elements for a FCW operator interface, as well as requirements and test methods for systems capable of warning drivers of rear-end collisions. This Information Report applies to original equipment and aftermarket FCW systems for passenger vehicles including cars, light trucks, and vans. This report does not apply to heavy trucks. Furthermore, this document does not address integration issues associated with adaptive cruise control (ACC), and consequently, aspects of the document could be inappropriate for an ACC system integrated with a FCW system.
2014-09-30
Journal Article
2014-01-2380
Joshua L. Every, Mohamed Kamel Salaani, Frank S. Barickman, Devin H. Elsasser, Dennis A. Guenther, Gary J. Heydinger, Sughosh J. Rao
Dynamic Brake Support (DBS) is a safety system that has been applied to various passenger cars and has been shown to be effective at assisting drivers in avoiding or mitigating rear-end collisions. The objective of a DBS system is to ensure that the brake system is applied quickly and at sufficient pressure when a driver responds to a collision imminent situation. DBS is capable of improving braking response due to a passenger car driver's tendency to utilize multi-stage braking. Interest is developing in using DBS on commercial vehicles. In order to evaluate the possible improvement in safety that could be realized through the use of DBS, driver braking behavior must first be analyzed to confirm that improvement is possible and necessary. To determine if this is the case, a study of the response of truck drivers' braking behavior in collision imminent situations is conducted. This paper presents the method of evaluation and results.
2014-09-17
Standard
J994_201409
The scope of this SAE Standard is the definition of the functional, environmental, and life cycle test requirements for electrically operated backup alarm devices primarily intended for use on off-road, self propelled work machines as defined by SAE J1116 (limited to categories of 1) construction, and 2) general purpose industrial). This purpose of this document is to define a set of performance requirements for backup alarms, independent of machine usage. The laboratory tests defined in this document are intended to provide a uniform and repeatable means of verifying whether or nor a test alarm meets the stated requirements. For on-machine requirements and test procedures, refer to SAE J 1446.
2014-06-17
Magazine
DuPont: from art to part DuPont's newly appointed global automotive technology director Jeffrey Sternberg, in conversation with Ian Adcock. Igniting the creative spark Ryan Gehm and Lindsay Brooke report on breakthrough technologies at the SAE Congress. Winning ways Ian Adcock exclusively reveals the newly formed Williams Advanced Engineering facility. Driverless future: steering a safe course Google unleashing 100 driverless, motorised pods on to the road has put the need for rigorous safety standards centre stage, as Ian Adcock reports
2014-04-01
Collection
Active Safety & Advanced Driver Assistance Systems help prevent accidents or mitigate accident severity. Some of these safety systems provide alerts to the driver in critical situations, while others respond to threats by automatically braking and steering the vehicle to avoid crashes. This technical paper collection covers the latest technologies in active safety and driver assistance systems.
2014-04-01
Technical Paper
2014-01-0149
Chi-Chun Yao, Jin-Yan Hsu, Yu-Sheng Liao, Ming Hung Li
Abstract Vehicle Rollover Prevention/Warning Systems have recently been an important topic in Advanced Driver Assistance Systems (ADAS) of automotive electronics field. This paper will propose a rollover-prevention system implementation with vehicle dynamic model, video-detection technique and rollover index to help the driver avoid accidents as driving into a curve. Due to the reason that vehicle rollover motion analysis needs complicated computation and accurate parameters of vehicle stability in real time, in the first stage a vehicle dynamic model based on Extended Kalman Filter (EKF) algorithm is built, which can estimate vehicle roll/yaw motion in the curve by vehicle sensors. And then the image-based technique will be employed in detecting the front road curvature, and combined in the system to predict vehicle steering status. The final stage is to apply the vehicle rollover index with estimated vehicle motion to predict the dangerous level to drivers for warning.
2014-04-01
Technical Paper
2014-01-0163
Stanley Chien, Qiang Yi, David Good, Ali Gholamjafari, Yaobin Chen, Rini Sherony
Abstract While the number of traffic fatalities as a whole continues to decline steadily over time, the number of pedestrian fatalities continues to rise (up 8% since 2009) and comprises a larger fraction of these fatalities. In 2011 there were 4,432 pedestrians killed and an estimated 69,000 pedestrian injuries [1]. A new generation of Pedestrian Pre-Collision Systems (PCS) is being introduced by car manufactures to mitigate pedestrian injuries and fatalities. In order to evaluate the performance of pedestrian PCS, The Transportation Active Safety Institute (TASI) at Indiana University-Purdue University Indianapolis is developing a set of test scenarios and procedures for evaluating the performance of pedestrian PCS with the support of the Collaborative Safety Research Center of Toyota. Pedestrian crashes are complex in that there are many aspects about location, driver behavior, and pedestrian behaviors that may have implications for the performance of the PCS.
2014-04-01
Journal Article
2014-01-0157
Mengmeng Yu, Guanglin Ma
In this paper, we present a real-time 360 degree surround system with parking aid feature, which is a very convenient parking and blind spot aid system. In the proposed system, there are four fisheye cameras mounted around a vehicle to cover the whole surrounding area. After correcting the distortion of four fisheye images and registering all images on a planar surface, a flexible stitching method was developed to smooth the seam of adjacent images away to generate a high-quality result. In the post-process step, a unique brightness balance algorithm was proposed to compensate the exposure difference as the images are not captured with the same exposure condition. 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.
2014-04-01
Journal Article
2014-01-0158
David LeBlanc, Mark Gilbert, Stephen Stachowski, Rini Sherony
Pre-collision systems (PCS) use forward-looking sensors to detect the location and motion of vehicles ahead and provide a sequence of actions to help the driver either avoid striking the rear-end of another vehicle or mitigate the severity of the crash. The actions include driver alerts, amplification of driver braking as distance decreases (dynamic brake support, DBS), and automatic braking if the driver has not acted or has not acted sufficiently (crash imminent braking, CIB). Recent efforts by various organizations have sought to define PCS objective test procedures and test equipment in support of consumer information programs and potential certification. This paper presents results and insights from conducting DBS and CIB tests on two production vehicles sold in the US. Eleven scenarios are used to assess the systems' performance. The two systems' performance shows that commercial systems can be quite different.
2014-04-01
Journal Article
2014-01-0554
Lotta Jakobsson, Magdalena Lindman, Anders Axelson, Bengt Lokensgard, Mats Petersson, Bo Svanberg, Jordanka Kovaceva
Run off road events are frequent and can result in severe consequences. The reasons for leaving the road are numerous and the sequence the car is exerted to differs in most events. The objective of this study is to identify different situations and mechanisms both in respect to accident avoidance and occupant protection and to present test methods addressing the different identified mechanisms of run off road occupant safety. Mechanisms and influencing factors are identified using statistical and in-depth crash data as well as driving data. There are a number of reasons for leaving the road; driver fatigue, driver distraction and inadequate speed in relation to the traffic situation to mention a few. An outline of principle test methods for evaluating technology assisting the driver to stay on the road is presented in relation to the identified situations and mechanisms. Crash test methods for some typical run off road scenarios are suggested.
Viewing 1 to 30 of 529

Filter