DeepTrack
Lightweight Deep Learning for Vehicle Trajectory Prediction
DeepTrack presents a lightweight deep learning approach for vehicle trajectory prediction in highways using Temporal Convolutional Networks (TCNs).
Key Features
- Depthwise separable convolutions for reduced model complexity
- State-of-the-art accuracy with significantly reduced computational requirements
- Designed for IoT deployment in intelligent transportation systems
- 33.16% reduction in model size compared to LSTM-based approaches
Publication
V. Katariya, M. Baharani, et al., “DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18927-18936, 2022. (97 citations)
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