Cognitive Cars: A New Frontier for ADAS Research

Li, Li; Wen, Ding; Zheng, Nanning; Shen, Lincheng

doi:10.1109/tits.2011.2159493

Cited by 186 publications

(81 citation statements)

References 176 publications

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“…Other night vision systems are based on close-range and long-range infrared technology, providing an on-screen display of the driver's surroundings. Recognized objects, such as pedestrians, can be highlighted, or trigger an active warning (Horter et al 2009, Li et al 2012). …”

Section: Related Research Directionsmentioning

confidence: 99%

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Bengler

Dietmayer

Färber

et al. 2014

IEEE Intell. Transport. Syst. Mag.

754

325

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This contribution provides a review of fundamental goals, development and future perspectives of driver assistance systems. Mobility is a fundamental desire of mankind. Virtually any society strives for safe and efficient mobility at low ecological and economic costs. Nevertheless, its technical implementation significantly differs among societies, depending on their culture and their degree of industrialization. A potential evolutionary roadmap for driver assistance systems is discussed. Emerging from systems based on proprioceptive sensors, such as ABS or ESC, we review the progress incented by the use of exteroceptive sensors such as radar, video, or lidar. While the ultimate goal of automated and cooperative traffic still remains a vision of the future, intermediate steps towards that aim can be realized through systems that mitigate or avoid collisions in selected driving situations. Research extends the state-of-the-art in automated driving in urban traffic and in cooperative driving, the latter addressing communication and collaboration between different vehicles, as well as cooperative vehicle operation by its driver and its machine intelligence. These steps are considered important for the interim period, until reliable unsupervised automated driving for all conceivable traffic situations becomes available. The prospective evolution of driver assistance systems will be stimulated by several technological, societal and market trends. The paper closes with a view on current research fields.

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Section: Related Research Directionsmentioning

confidence: 99%

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Bengler

Dietmayer

Färber

et al. 2014

IEEE Intell. Transport. Syst. Mag.

754

325

View full text Add to dashboard Cite

show abstract

“…Intelligent systems based on on-board perception/detection devices have contributed to improve road safety [1]. The next step in the development of ADAS points toward vehicleto-vehicle (V2V) communications to obtain more extensive and reliable information about vehicles in the surrounding area, representing a cooperative ITS system.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Adaptive Cruise Control in Real Traffic Situations

Milanés

Shladover

Spring

et al. 2014

IEEE Trans. Intell. Transport. Syst.

935

429

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Abstract-Intelligent vehicle cooperation based on reliable communication systems contributes not only to reducing traffic accidents, but also to improving traffic flow. Adaptive Cruise Control (ACC) systems can gain enhanced performance by adding vehicle-vehicle wireless communication to provide additional information to augment range sensor data, leading to Cooperative ACC (CACC). This paper presents the design, development, implementation and testing of a CACC system. It consists of two controllers, one to manage the approaching maneuver to the leading vehicle and the other to regulate car-following once the vehicle joins the platoon. The system has been implemented on four production Infiniti M56s vehicles, and this paper details the results of experiments to validate the performance of the controller and its improvements with respect to the commercially available ACC system.

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“…The second-order function that models vehicle response to speed changes is presented in the equation below P (s) = 1.0009 0.5553s 2 + 0.5396s + 1 e −0.16906s (1) including a time-delay term that model the delay that is introduced by Cybercar's actuators.…”

Section: B Prototype Modelmentioning

confidence: 99%

“…The automation of the road transportation systems is getting more and more attraction in recent years [1]. As a matter of fact, there are several actions worldwide working on this field.…”

Section: Introductionmentioning

confidence: 99%

Low-speed cooperative car-following fuzzy controller for cybernetic transport systems

Milanés

Marouf

Pérez

et al. 2014

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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This paper describes the development of a Cooperative Adaptive Cruise Control (CACC) for the future urban transportation system at low-speed. The control algorithm was evaluated using two Cybecars as prototype vehicles. A longitudinal response model for the vehicles was developed to design the CACC system. The control algorithm was implemented on a fuzzy logic-based controller that has been tuned to minimize a cost function in order to get a trade-off between a proper car-following gap error and the smoothness of the control signal. The controller was firstly tested in simulation using the developed model. Then, the CACC was implemented in two Cybecars to validate the controller performance in real scenarios.

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Cognitive Cars: A New Frontier for ADAS Research

Cited by 186 publications

References 176 publications

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Three Decades of Driver Assistance Systems: Review and Future Perspectives

Cooperative Adaptive Cruise Control in Real Traffic Situations

Low-speed cooperative car-following fuzzy controller for cybernetic transport systems

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