On Efficient Object-Detection NAS for ADAS on Edge devices
Diksha Gupta, Rhui Dih Lee, et al.
CAI 2024
We present a novel and effective method for determining the placement of sensors so as to be able to satisfy probabilistic constraints on the time-to-detection of an incident. Indeed, with the wealth of real-time traffic data available today, an important new goal of intelligent traffic management systems is incident detection with time-to-detection guarantees, in particular on expressways with large distances between sensors. This goal drives investment decisions in new sensor deployment, hence making the topic a pressing need for traffic management. The method we provide makes use of a probabilistic formulation of traffic behavior and incident localization to determine the minimum spacing of sensors needed to achieve the time-to-detection goal with a specified probability.
Diksha Gupta, Rhui Dih Lee, et al.
CAI 2024
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Sebastien Blandin, Laura Wynter, et al.
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Xiaocheng Tang, Sébastien Blandin, et al.
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