scispace - formally typeset
Search or ask a question
Author

Michael Maile

Other affiliations: University of Texas at El Paso
Bio: Michael Maile is an academic researcher from Mercedes-Benz. The author has contributed to research in topics: Dedicated short-range communications & System safety. The author has an hindex of 13, co-authored 21 publications receiving 538 citations. Previous affiliations of Michael Maile include University of Texas at El Paso.

Papers
More filters
01 Sep 2011
TL;DR: This document presents the third volume set of appendices for the Final Report of the VSC-A Project which contains technical content for the Security Protocols and Implementation Results, Security Network Simulations, and Analysis of Infrastructure and Communications Requirements for V2V PKI Security Management.
Abstract: The Vehicle Safety Communications – Applications (VSC-A) Project was a three-year project (December 2006 - December 2009) to develop and test communications-based vehicle-to-vehicle (V2V) safety systems to determine if Dedicated Short Range Communications (DSRC) at 5.9 GHz, in combination with vehicle positioning, can improve upon autonomous vehicle-based safety systems and/or enable new communications-based safety applications. The VSC-A Project was conducted by the Vehicle Safety Communications 2 Consortium (VSC2). Members of VSC2 are Ford Motor Company, General Motors Corporation, Honda R & D Americas, Inc., Mercedes-Benz Research and Development North America, Inc., and Toyota Motor Engineering & Manufacturing North America, Inc. This document presents the third volume set of appendices for the Final Report of the VSC-A Project which contains technical content for the Security Protocols and Implementation Results, Security Network Simulations, and Analysis of Infrastructure and Communications Requirements for V2V PKI Security Management.

94 citations

Journal ArticleDOI
TL;DR: In this article, the occupancy state of each grid cell in a robot's environment is estimated by estimating the occupancy states of the grid cells in the robot's own environment map, which is a well-established approach for environment perception in robotic and automotive applications.
Abstract: Grid mapping is a well-established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy state of each grid cell in a robot’s envi...

93 citations

01 Sep 2011
TL;DR: The Vehicle Safety Communications Applications (VSC-A) Project as mentioned in this paper was a three-year project (December 2006 - December 2009) to develop and test communications-based vehicle-to-vehicle (V2V) safety systems to determine if Dedicated Short Range Communications (DSRC) at 5.9 GHz, in combination with vehicle positioning, can improve upon autonomous vehicle-based safety systems and/or enable new communicationsbased safety applications.
Abstract: The Vehicle Safety Communications – Applications (VSC-A) Project was a three-year project (December 2006 - December 2009) to develop and test communications-based vehicle-to-vehicle (V2V) safety systems to determine if Dedicated Short Range Communications (DSRC) at 5.9 GHz, in combination with vehicle positioning, can improve upon autonomous vehicle-based safety systems and/or enable new communications-based safety applications. The VSC-A Project was conducted by the Vehicle Safety Communications 2 Consortium (VSC2). Members of VSC2 are Ford Motor Company, General Motors Corporation, Honda R & D Americas, Inc., Mercedes-Benz Research and Development North America, Inc., and Toyota Motor Engineering & Manufacturing North America, Inc. This document presents the final report of the VSC-A Project.

63 citations

30 Sep 2008
TL;DR: The Cooperative Intersection Collision Avoidance System Limited to Stop Sign and Traffic Signal Violations (CICASV) project as mentioned in this paper is a four-year project to develop a cooperative intersection collision avoidance system to assist drivers in avoiding crashes in the intersection.
Abstract: This report presents the Midterm Phase I Report for the Cooperative Intersection Collision Avoidance System Limited to Stop Sign and Traffic Signal Violations (CICASV) project. The report covers the period from project inception on May 1, 2006, through April 30, 2007, and contains a summary of the tasks that were active during the first year of the project. These tasks, collectively, address four major elements of the research needed to develop an FOT-ready system by the end of Phase I. These elements are: (a) human factors research to identify a driver-vehicle interface (DVI) for the CICAS-V system and the operational parameters for the driver warning algorithm; (b) systems engineering activities to design the CICAS-V system; (c) system development and validation tasks to build and test a prototype FOT system; and (d) project management and coordination with outside organizations. The progress made during the period and the accomplishments achieved are also described in the report. The CICAS-V project is a four-year project to develop a cooperative intersection collision avoidance system to assist drivers in avoiding crashes in the intersection by warning the driver of an impending violation of a traffic signal or a stop sign. The Vehicle Safety Communications 2 Consortium (VSC2) is executing the project. Members of VSC2 are Ford Motor Company, General Motors Corporation, Honda R & D Americas, Inc., Mercedes-Benz Research and Development North America, Inc., and Toyota Motor Engineering & Manufacturing North America, Inc.

54 citations

Posted Content
TL;DR: In this article, the authors define the state of multiple grid cells as a random finite set, which allows to model the environment as a stochastic, dynamic system with multiple obstacles, observed by an external measurement system, and motivate an original filter called the probability hypothesis density / multi-instance Bernoulli (PHD/MIB) filter.
Abstract: Grid mapping is a well established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy state of each grid cell in a robot's environment using a Bayesian filter to recursively combine new measurements with the current posterior state estimate of each grid cell. This filter is often referred to as binary Bayes filter (BBF). A basic assumption of classical occupancy grid maps is a stationary environment. Recent publications describe bottom-up approaches using particles to represent the dynamic state of a grid cell and outline prediction-update recursions in a heuristic manner. This paper defines the state of multiple grid cells as a random finite set, which allows to model the environment as a stochastic, dynamic system with multiple obstacles, observed by a stochastic measurement system. It motivates an original filter called the probability hypothesis density / multi-instance Bernoulli (PHD/MIB) filter in a top-down manner. The paper presents a real-time application serving as a fusion layer for laser and radar sensor data and describes in detail a highly efficient parallel particle filter implementation. A quantitative evaluation shows that parameters of the stochastic process model affect the filter results as theoretically expected and that appropriate process and observation models provide consistent state estimation results.

53 citations


Cited by
More filters
Proceedings ArticleDOI
16 May 2010
TL;DR: It is demonstrated that an attacker who is able to infiltrate virtually any Electronic Control Unit (ECU) can leverage this ability to completely circumvent a broad array of safety-critical systems and present composite attacks that leverage individual weaknesses.
Abstract: Modern automobiles are no longer mere mechanical devices; they are pervasively monitored and controlled by dozens of digital computers coordinated via internal vehicular networks. While this transformation has driven major advancements in efficiency and safety, it has also introduced a range of new potential risks. In this paper we experimentally evaluate these issues on a modern automobile and demonstrate the fragility of the underlying system structure. We demonstrate that an attacker who is able to infiltrate virtually any Electronic Control Unit (ECU) can leverage this ability to completely circumvent a broad array of safety-critical systems. Over a range of experiments, both in the lab and in road tests, we demonstrate the ability to adversarially control a wide range of automotive functions and completely ignore driver input\dash including disabling the brakes, selectively braking individual wheels on demand, stopping the engine, and so on. We find that it is possible to bypass rudimentary network security protections within the car, such as maliciously bridging between our car's two internal subnets. We also present composite attacks that leverage individual weaknesses, including an attack that embeds malicious code in a car's telematics unit and that will completely erase any evidence of its presence after a crash. Looking forward, we discuss the complex challenges in addressing these vulnerabilities while considering the existing automotive ecosystem.

1,463 citations

01 Jan 2014

872 citations

Journal ArticleDOI
TL;DR: An optimization-based control algorithm is formulated that uses short range radar and traffic signal information predictively to schedule an optimum velocity trajectory for the vehicle to reduce idle time at stop lights and fuel consumption.
Abstract: This brief proposes the use of upcoming traffic signal information within the vehicle's adaptive cruise control system to reduce idle time at stop lights and fuel consumption. To achieve this goal an optimization-based control algorithm is formulated that uses short range radar and traffic signal information predictively to schedule an optimum velocity trajectory for the vehicle. The control objectives are: timely arrival at green light with minimal use of braking, maintaining safe distance between vehicles, and cruising at or near set speed. Three example simulation case studies are presented to demonstrate the potential impact on fuel economy, emission levels, and trip time.

643 citations

Journal ArticleDOI
TL;DR: A survey of potential DSRC and cellular interworking solutions for efficient V2X communications, together with the main interworking challenges resulting from vehicle mobility, such as vertical handover and network selection issues.
Abstract: Vehicle-to-anything (V2X) communications refer to information exchange between a vehicle and various elements of the intelligent transportation system (ITS), including other vehicles, pedestrians, Internet gateways, and transport infrastructure (such as traffic lights and signs). The technology has a great potential of enabling a variety of novel applications for road safety, passenger infotainment, car manufacturer services, and vehicle traffic optimization. Today, V2X communications is based on one of two main technologies: dedicated short-range communications (DSRC) and cellular networks. However, in the near future, it is not expected that a single technology can support such a variety of expected V2X applications for a large number of vehicles. Hence, interworking between DSRC and cellular network technologies for efficient V2X communications is proposed. This paper surveys potential DSRC and cellular interworking solutions for efficient V2X communications. First, we highlight the limitations of each technology in supporting V2X applications. Then, we review potential DSRC-cellular hybrid architectures, together with the main interworking challenges resulting from vehicle mobility, such as vertical handover and network selection issues. In addition, we provide an overview of the global DSRC standards, the existing V2X research and development platforms, and the V2X products already adopted and deployed in vehicles by car manufactures, as an attempt to align academic research with automotive industrial activities. Finally, we suggest some open research issues for future V2X communications based on the interworking of DSRC and cellular network technologies.

583 citations

Proceedings ArticleDOI
11 May 2015
TL;DR: A new VANET architecture called FSDN is proposed which combines two emergent computing and network paradigm Software Defined Networking (SDN) and Fog Computing as a prospective solution and provides flexibility, scalability, programmability and global knowledge.
Abstract: Vehicular Adhoc Networks (VANETs) have been attracted a lot of research recent years. Although VANETs are deployed in reality offering several services, the current architecture has been facing many difficulties in deployment and management because of poor connectivity, less scalability, less flexibility and less intelligence. We propose a new VANET architecture called FSDN which combines two emergent computing and network paradigm Software Defined Networking (SDN) and Fog Computing as a prospective solution. SDN-based architecture provides flexibility, scalability, programmability and global knowledge while Fog Computing offers delay-sensitive and location-awareness services which could be satisfy the demands of future VANETs scenarios. We figure out all the SDN-based VANET components as well as their functionality in the system. We also consider the system basic operations in which Fog Computing are leveraged to support surveillance services by taking into account resource manager and Fog orchestration models. The proposed architecture could resolve the main challenges in VANETs by augmenting Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Base Station communications and SDN centralized control while optimizing resources utility and reducing latency by integrating Fog Computing. Two use-cases for non-safety service (data streaming) and safety service (Lane-change assistance) are also presented to illustrate the benefits of our proposed architecture.

358 citations