Driver behavior modeling towards autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
Smartphone Inertial Measurement Unit Data Features for Analyzing Driver Driving Behavior
K Kanwal, F Rustam, R Chaganti… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Driving behavior is an important aspect of maintaining and sustaining safe transport on the
roads. It also directly affects fuel consumption, traffic flow, public health, and air pollution …
roads. It also directly affects fuel consumption, traffic flow, public health, and air pollution …
Decision making for autonomous driving in interactive merge scenarios via learning-based prediction
Autonomous agents that drive on roads shared with human drivers must reason about the
nuanced interactions among traffic participants. This poses a highly challenging decision …
nuanced interactions among traffic participants. This poses a highly challenging decision …
Deep Learning Model for Driver Behavior Detection in Cyber-Physical System-Based Intelligent Transport Systems
BB Gupta, A Gaurav, KT Chui, V Arya - IEEE Access, 2024 - ieeexplore.ieee.org
As Intelligent Transport Systems (ITS) continue to evolve, the quest for improving road safety
and transportation efficiency has gained renewed emphasis. One of the pivotal aspects in …
and transportation efficiency has gained renewed emphasis. One of the pivotal aspects in …
An automatic driving trajectory planning approach in complex traffic scenarios based on integrated driver style inference and deep reinforcement learning
Y Liu, S Diao - PLoS one, 2024 - journals.plos.org
As autonomous driving technology continues to advance and gradually become a reality,
ensuring the safety of autonomous driving in complex traffic scenarios has become a key …
ensuring the safety of autonomous driving in complex traffic scenarios has become a key …
Comprehensively Assessing the Landscape of Algorithmic Bias and Fairness Considerations in Modern AI Systems
M Jovanović - Eigenpub Review of Science and Technology, 2023 - studies.eigenpub.com
Algorithmic bias and fairness have become pressing concerns as artificial intelligence (AI)
systems are increasingly deployed in high-stakes domains like healthcare, criminal justice …
systems are increasingly deployed in high-stakes domains like healthcare, criminal justice …