Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs

no code implementations • 22 Nov 2018 • Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras

Experiments conducted with a dataset that we collect in a mock-up car environment demonstrate that the proposed InterCNN with MobileNet convolutional blocks can classify 9 different behaviors with 73. 97% accuracy, and 5 'aggregated' behaviors with 81. 66% accuracy.

Classification General Classification

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

no code implementations • NeurIPS 2018 • Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yin-Lam Chow, Daoming Lyu, Daesub Yoon

Risk management in dynamic decision problems is a primary concern in many fields, including financial investment, autonomous driving, and healthcare.

Autonomous Driving Management