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Advanced driver assistance systems from autonomous to cooperative approach

By J. Piao and M. McDonald


Advanced Driver Assistance Systems (ADAS) have been one of the most active areas of ITS studies in the last two decades. ADAS aim to support drivers by either providing warning to reduce risk exposures, or automating some of the control tasks to relieve a driver from manual control of a vehicle. ADAS functions can be achieved through an autonomous approach with all instrumentation and intelligence on board the vehicle, or through a cooperative approach, where assistance is provided from roadways and/or from other vehicles. In this article, recent research and developments of longitudinal control assistance systems are reviewed including adaptive cruise control, forward collision warning and avoidance, and platooning assistants. The review focuses on comparing between autonomous systems and cooperative systems in terms of technologies used, system impacts and implementation. The main objective is to achieve common understanding on ADAS functional potentials and limitations and to identify research needs for further studie

Topics: TA
Year: 2008
OAI identifier: oai:eprints.soton.ac.uk:74306
Provided by: e-Prints Soton

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  1. (1999). A collision model for safety evaluation of autonomous intelligent cruise control, doi
  2. (2005). A design method for string-stable ACC using vehicle-to-vehicle communication, in: doi
  3. (2003). A fusion system for real-time forward collision warning in automobiles, in: doi
  4. (2002). A review of electronic fee collection (EFC) using vehicle positioning systems (VPS), and of prospects for the future, in:
  5. (1998). A study of AHS effects on traffic flow at bottlenecks, in:
  6. (2005). AASHTO’s vehicle infrastructure integration activities (VII), in:
  7. (2003). ACC radar sensor technology, test requirements, and test solutions, doi
  8. (2005). Advanced driver assistance systems: behavioural implications of some recent developments,
  9. (2000). Aggregation of Direct and Indirect Position Sensors for Vehicle Guidance.
  10. (2000). Algorithms for simulation of driver and intelligent cruise controlled vehicles, in:
  11. (2001). Analysis of Traffic Flow with Mixed Manual and Intelligent Cruise Control Vehicles: Theory and Experiments. doi
  12. (2005). Automotive Collision Avoidance System Field Operational Test Report: Methodology and Results.
  13. (2002). Brake performance monitoring for commercial vehicles using estimated tyre-road friction information.
  14. (1995). Brake system requirement for platooning on an automated highway, in: doi
  15. (1999). Breaking the highway capacity barrier: adaptive cruise control-based concept, doi
  16. (1998). Capacity analysis of traffic flow over a single-lane automated highway system, doi
  17. (2003). Carrier phase GPS-aided INS-based vehicle lateral control, doi
  18. (2001). CARSENSE—new environment sensing for advanced driver assistance systems, in: doi
  19. (2004). Cooperative adaptive cruise control for improved mobility and safety, in:
  20. (2005). Cooperative collision warning: enabling crash avoidance with wireless technology, in:
  21. (2001). Cost-benefit analyses of CHAUFFEUR systems—methodology and empirical results, in:
  22. (2004). D2: Scenarios, Policy and Legal Framework. CVHS project deliverable. Available at http://www.fabermaunsell.com/media/4751.pdf (accessed 31
  23. (2003). Dealing with uncertainty in implementing advanced driver assistance systems: an adaptive approach, doi
  24. (2002). Dedicated short range communication (DSRC) for advanced cruise-assist highway systems (AHS), in:
  25. (2005). Dedicated short-range wireless communication for intelligent transportation systems applications, Transportation Research Record, doi
  26. (2001). Demo doi
  27. (1998). Demonstration of an automated highway platoon system, in: doi
  28. (1999). Deployment scenarios for advanced driver assistance systems in Europe, in:
  29. (1991). Description of three PROMETHEUS demonstrators having potential safety effects, in:
  30. (2004). Design and test of a cooperative adaptive cruise control system, in: doi
  31. (1998). Development of a Collision Avoidance System. doi
  32. (1999). Development of the scanning laser radar for ACC system, doi
  33. (1997). Drive-by-wire: the case of driver workload and reclaiming control with adaptive cruise control, doi
  34. (2002). Effects of adaptive cruise control systems on highway traffic flow capacity, doi
  35. (2000). Electronic cocoon: product liability aspects of driver support systems in Europe and the United States, in:
  36. (2005). Evaluation of ACC vehicles in mixed traffic: lane change effects and sensitivity analysis, doi
  37. (2002). Evaluation of forward obstacles collision avoidance support system using driving simulator, in:
  38. (2002). Evaluation of the effects of adaptive cruise control systems on highway traffic flow capacity and implications for deployment of future automated systems. Transportation Research Board Annual Meeting, doi
  39. (1999). Evaluation of the Intelligent Cruise Control System.
  40. (2002). Experimental implementation of cooperative adaptive cruise control, in:
  41. (2002). Fade: a vehicle detection and tracking system featuring monocular color vision and radar data fusion, in: doi
  42. (2001). Features and effects of platoon driving based on vehicle motion simulation, in:
  43. (2000). Final Report—Automotive Collision Avoidance (ACAS) Programme.
  44. (2000). Fuel consumption reduction experienced by two PROMOTE-CHAUFFEUR trucks in electronic tow-bar operation, in:
  45. (1996). Global Positioning System: Theory and Applications, doi
  46. (1997). High performance ACC system based on sensor fusion with distance sensor, image processing unit, and navigation system, doi
  47. (2001). Human-centered design of an ACC-with-braking and forward-crash warning system, doi
  48. (1999). Impact of intelligent cruise control in motorway capacity, doi
  49. (2001). Impacts of a roadside-vehicle communication system on traffic management practices and road safety, in:
  50. (2004). Imperfect in-vehicle collision avoidance warning systems can aid drivers, doi
  51. (1998). Implementation of the National Intelligent Transportation Systems Program. doi
  52. (2005). Infrared communication in the German truck toll system, in:
  53. (2006). Instantaneous information propagation in a traffic stream through inter-vehicle communication, doi
  54. (2004). Integrating inertial sensors with GPS for vehicle dynamics control, doi
  55. (1999). Integration of radar and GPS/GIS for intersection threat detection and collision avoidance, in: doi
  56. (1998). Intelligent Cruise Control Field Operational Test. doi
  57. (1999). Intelligent cruise control systems and traffic flow stability, doi
  58. (2001). Introducing advanced driver assistance systems: some legal issues,
  59. (2000). Introducing advanced electronic driver support systems: an exploration of market and technological uncertainties, doi
  60. (1998). Investigation of the impact of AICC concepts on traffic flow quality, in:
  61. (2005). Issues and recent trends in vehicle safety communication systems, doi
  62. (2000). Legal and liability aspects of market introduction of driver assistance systems—a European perspective, in: doi
  63. (1990). Longitudinal control of a platoon of vehicles, in: doi
  64. (1998). Longitudinal Control of Heavy Duty Vehicles: Experimental Evaluation. doi
  65. (1995). Magnetic lateral guidance sensors for automated highways, in: doi
  66. (2001). Maximizing usability and minimizing liability—the RESPONSE project, in:
  67. (2003). Methodology for assessing adaptive cruise control behaviour, doi
  68. (1998). NAHSC demonstration 1997, in:
  69. (2005). New features of an algorithm for transit frontal collision warning system, in: doi
  70. (1999). Optimal adaptive cruise control with guaranteed string stability, doi
  71. (1996). Panel discussion on introduction of intelligent vehicles into society: technical, mental and legal aspects, in: doi
  72. (2003). Parameter Estimation and Command Modification for Longitudinal Control of Heavy Vehicles. doi
  73. (2004). Phileas: a new idea in public transport,
  74. (2003). Practical string stability for longitudinal control of automated vehicles, in:
  75. (2002). Preliminary design of an application for communication based longitudinal control in the CarTALK
  76. (2005). Product liability for ADAS: legal and human factors perspectives,
  77. (2004). Product Liability, 2nd edn (Oxford: doi
  78. (2001). PROMOTE-CHAUFFEUR II & 5.8 GHz vehicle to vehicle communications system, in: doi
  79. (2000). Propagation characteristics of 60-GHz millimeter waves for ITS inter-vehicle communications, in:
  80. (2001). Radar and vision data fusion for hybrid adaptive cruise control on highways. Paper presented at the Computer Vision Systems: doi
  81. (2005). Range policy of adaptive cruise control vehicles for improved flow stability and string stability, doi
  82. (2001). Rear-end collision events: characterization of impending crashes, in:
  83. (2001). Rear-end collision-warning system: design and evaluation via simulation, doi
  84. (2003). Research advances in intelligent collision avoidance and adaptive cruise control, doi
  85. (1998). Safety and capacity analysis of automated and manual highway systems, doi
  86. (2000). Safety and Throughput Analysis of Automated Highway Systems. doi
  87. (2000). Sensor vision and collision warning systems, in:
  88. (2001). Server-based collision avoidance using DGPS, in:
  89. (2003). Simulation, analysis, and comparison of ACC and CACC in highway merging control, in: doi
  90. (2003). Simultaneous mass and time varying grade estimation for heavy-duty vehicles, in: doi
  91. (2004). Solid or not solid: vision for radar target validation, in: doi
  92. (2000). Stop and go cruise control, FISITA World Automotive Congress, Seoul,
  93. (2000). String stability analysis of adaptive cruise controlled vehicles, doi
  94. (2005). Technical feasibility of advanced driver assistance systems (ADAS) for road traffic safety, doi
  95. (1999). The Global Positioning System and Inertial Navigation: Theory and Practice
  96. (1997). The OSU DEMO ‘97 vehicle, in: doi
  97. (2001). Towards an understanding of adaptive cruise control, doi
  98. (2000). Traffic flow stability induced by constant time headway policy for adaptive cruise control (ACC) vehicles, in: doi
  99. (2002). Traffic flow stability induced by constant time headway policy for adaptive cruise control vehicles, doi
  100. (2000). Use of vehicle navigation in driver assistance systems, in: doi
  101. (1995). Vehicle longitudinal control using an adaptive observer for automated highway systems, in: doi
  102. (2000). Vehicle spacing control with string stability using simple communication and a spacing sensor, in:
  103. (2000). Video-based lane keeping assistant, in: doi

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