Multi-vehicle target selection for adaptive cruise control

Moon, Seungwuk; Kang, Hyoung-Jin; Yi, Kyongsu

doi:10.1080/00423114.2010.499952

Cited by 29 publications

(14 citation statements)

References 12 publications

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“…In the field of driver assistance and collision avoidance technologies, there have been many developments recently. An example of this is called adaptive cruise control (ACC), which relies on radar or lidar readings and automatically adjusts the vehicle's heading and speed to sustain safe following distances with vehicles in the same lane . The ability to track multiple targets in a convoying scenario is imperative such that the following vehicle does not ignore a secondary vehicle while tracking the lead vehicle and collide with the closer vehicle.…”

Section: Multiple Vehicle Trackingmentioning

confidence: 99%

Radar probabilistic data association filter/DGPS fusion for target selection and relative range determination for a ground vehicle convoy

2019

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As navigation systems are being developed, it is apparent that cost‐effective accurate and precise positioning is an imperative for both military and civilian ground vehicle guidance. As this need increases, navigation systems incorporating multiple sensors have been developed and relied upon in many navigation situations. In this work, radar and global positioning system (GPS) measurements are utilized in a multi‐sensor fusion scheme allowing for a robust ranging solution utilizing the accuracy of a differential GPS (DGPS) solution and higher update rate of the radar solution in a Kalman filter. A probabilistic data association filter (PDAF) is utilized to determine a weighted mean of the radar channels' solutions that fall within a validation region set in the algorithm. In this work, radar was used to track vehicles and not surrounding landmarks. This paper intends to evaluate the accuracy and availability of a GPS/radar fusion algorithm in vehicle convoying scenarios.

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Section: Multiple Vehicle Trackingmentioning

confidence: 99%

Radar probabilistic data association filter/DGPS fusion for target selection and relative range determination for a ground vehicle convoy

2019

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“…ACC와 같은 운전지원시스템을 위하여 레이더만을 사용하 여 FVI를 인식하기 위해서는 일반적으로 측정된 횡방향 위 치정보와 요레이트 값을 이용하여 판단하는 기술이 몇몇 논 문에 소개되어 있다 [3][4][5]7]. 더 나아가 레이더와 비전센서가 활용되는 경우 레이더에서 인지된 장애물이 비전센서를 통 해서도 인지되는지를 확인함으로써 장애물의 종류가 차량임 을 판단한다.…”

Section: 전방 다중 차량 인식 알고리즘unclassified

Multiple Vehicle Recognition based on Radar and Vision Sensor Fusion for Lane Change Assistance

김형태¹,

송봉섭²,

이훈³

et al. 2015

Journal of Institute of Control, Robotics and Systems

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This paper presents a multiple vehicle recognition algorithm based on radar and vision sensor fusion for lane change assistance. To determine whether the lane change is possible, it is necessary to recognize not only a primary vehicle which is located inlane, but also other adjacent vehicles in the left and/or right lanes. With the given sensor configuration, two challenging problems are considered. One is that the guardrail detected by the front radar might be recognized as a left or right vehicle due to its genetic characteristics. This problem can be solved by a guardrail recognition algorithm based on motion and shape attributes. The other problem is that the recognition of rear vehicles in the left or right lanes might be wrong, especially on curved roads due to the low accuracy of the lateral position measured by rear radars, as well as due to a lack of knowledge of road curvature in the backward direction. In order to solve this problem, it is proposed that the road curvature measured by the front vision sensor is used to derive the road curvature toward the rear direction. Finally, the proposed algorithm for multiple vehicle recognition is validated via field test data on real roads.

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“…Since the 1990s, driver assistance and active safety systems have been active topics of researches [1], [2], [3], [4]. As a result, various active safety systems such as Ve hicle Stability Control (VSC), Adaptive Cruise Control (ACC), and Lane Keeping Assistance (LKA) have been already commercialized by many different automakers.…”

Section: Introductionmentioning

confidence: 99%

ECU-in-the-loop real-time simulation technique for developing integrated vehicle safety system

Lee

et al. 2014

2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)

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Integrated vehicle safety system is a key issue when developing intelligent safety vehicles. In order to validate such complex systems before actual ECU implementation, ECU-in-the-Loop Simulation (EiLS) is widely used. However, current EiLS methods only simulate the functional behavior of the target system thus cannot validate the temporal behavior of the resulting system. Hence, this paper incorporates a real-time simulation technique such that the target system's both functional and temporal correctness can be validated in the early development phase. For the demonstration purpose, we specifically show how our real-time simulation technique aids the development of the integrated vehicle safety system.

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Multi-vehicle target selection for adaptive cruise control

Cited by 29 publications

References 12 publications

Radar probabilistic data association filter/DGPS fusion for target selection and relative range determination for a ground vehicle convoy

Radar probabilistic data association filter/DGPS fusion for target selection and relative range determination for a ground vehicle convoy

Multiple Vehicle Recognition based on Radar and Vision Sensor Fusion for Lane Change Assistance

ECU-in-the-loop real-time simulation technique for developing integrated vehicle safety system

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