2009 IEEE Intelligent Vehicles Symposium 2009
DOI: 10.1109/ivs.2009.5164349
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Towards a proactive biologically-inspired Advanced Driver Assistance System

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Cited by 7 publications
(4 citation statements)
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References 21 publications
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“…Also measuring and mimicking the reactions of an experienced driver is envisioned in the future. Our system extensions introduced in [42,45] contains first approaches towards such an efficient cognitive control concept. The central assumption is that a robust learning system requires a generic system structure with a high number of degrees of freedom for controlling the system reaction and measuring the system state.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Also measuring and mimicking the reactions of an experienced driver is envisioned in the future. Our system extensions introduced in [42,45] contains first approaches towards such an efficient cognitive control concept. The central assumption is that a robust learning system requires a generic system structure with a high number of degrees of freedom for controlling the system reaction and measuring the system state.…”
Section: Discussionmentioning
confidence: 99%
“…In a more recent version of our ADAS these weights are computed dynamically at runtime (see [42]). In our current (see [45]) and future work it is envisioned to use attention weights to track and even learn new objects.…”
Section: Attention Sub-systemmentioning
confidence: 99%
“…Therefore, a BEV warping approach is proposed that compensates the ego-motion. The BEV differential image is post-filtered using biologically motivated filters for denoising and contour extraction (refer to [15]). The detection results are used for estimating further object parameters.…”
Section: A System Overviewmentioning
confidence: 99%
“…In order to improve traffic safety researchers focused on developing ADAS applications as listed in the references [7][8][9]. Several driver monitoring systems (fatigue/emotions) have been proposed in the past which include intrusive and nonintrusive techniques [10][11][12][13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%