Title: Elucidation of improved heuristic-assisted multi-dilated inception ResnetV2 with pyramidal attention for driver distraction detection

Authors: Mohammed Sharfuddin Waseem; Shaik Munawar; Madugula Sujatha; Syed Abdul Moeed; Raghuram Bhukya

Addresses: Computer Science and Engineering, Kakatiya Institute of Technology and Science, Warangal, 506015, India ' Computer Science and Engineering, CMR Engineering College, Kandlakoya, Medchal, Hyderabad, 501401, India ' Computer Science and Engineering (AI & ML), Kakatiya Institute of Technology and Science, Warangal, 506015, India ' Computer Science and Engineering, Kakatiya Institute of Technology and Science, Warangal, 506015, India ' Computer Science and Engineering, Kakatiya Institute of Technology and Science, Warangal, 506015, India

Abstract: Globally, driver distractions are required to be recognised since it becomes a major cause for traffic-related fatalities. In recent years, the models limit with examining the specific feature information of the input source. Hence the main purpose of this paper is to develop an automated model of detecting the driver behaviour. Further, the collected images are subjected as input to Adaptive Multi-dilated Inception ResnetV2 with Pyramidal Attention (AMIR-PA) for classifying the distracted behaviours. In order to further enhance the performance, the hyper-parameters are optimally selected using Renovated Position-based Crocodile Optimisation Algorithm (RP-COA). Finally, the proposed system is validated using different measures and compared among traditional approaches. After the validation, the proposed model acquires high accuracy value as 91.45% and 92.2% for ReLU and tanh activation function than existing models. Therefore, the findings reveal that the proposed system achieves higher detection results to evade the traffic accidents that occur in roadways.

Keywords: driver distraction detection; Multi-dilated Inception ResnetV2 with Pyramidal Attention; RP-COA; Renovated Position-based Crocodile Optimisation Algorithm; adaptive multi-dilated inception ResnetV2 with pyramidal attention.

DOI: 10.1504/IJSISE.2025.151432

International Journal of Signal and Imaging Systems Engineering, 2025 Vol.14 No.2, pp.107 - 123

Received: 10 Feb 2025
Accepted: 11 Oct 2025
Published online: 29 Jan 2026 *

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