自動運転車両向け悪天候時における目標識別精度の向上に関する研究

抄録

For object recognition using camera-captured images, coarse weather condition such as fog / rain causes edge degradation of the target object and adversely affects the detection accuracy. Aiming at constructing a “Minimal Risk Maneuver: MRM” for automated driving systems, we examined applying an algorithm based on "Dark Channel Prior" to improve the identification accuracy. Experimental results with the algorithm depicted the feasibility of the algorithm in terms of our aim. Further development with relevant techniques would be also discussed.