Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
A review of intelligent driving style analysis systems and related artificial intelligence algorithms
GAM Meiring, HC Myburgh - Sensors, 2015 - mdpi.com
In this paper the various driving style analysis solutions are investigated. An in-depth
investigation is performed to identify the relevant machine learning and artificial intelligence …
investigation is performed to identify the relevant machine learning and artificial intelligence …
Driver behavior detection and classification using deep convolutional neural networks
Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or
performing autonomous control is the core of the Collision Avoidance (CA) system used to …
performing autonomous control is the core of the Collision Avoidance (CA) system used to …
Lane changing intention recognition based on speech recognition models
Poor driving habits such as not using turn signals when changing lanes present a major
challenge to advanced driver assistance systems that rely on turn signals. To address this …
challenge to advanced driver assistance systems that rely on turn signals. To address this …
A human-like model to understand surrounding vehicles' lane changing intentions for autonomous driving
Autonomous vehicles have to share the road with human-driven ones for a prolonged period
in the near future. Thus, they should have the ability to understand the lane changing …
in the near future. Thus, they should have the ability to understand the lane changing …
Spatiotemporal interaction pattern recognition and risk evolution analysis during lane changes
In complex lane change (LC) scenarios, semantic interpretation and safety analysis of
dynamic interaction pattern are necessary for autonomous vehicles to make appropriate …
dynamic interaction pattern are necessary for autonomous vehicles to make appropriate …
[HTML][HTML] Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges
Modelling, predicting and analysing driver behaviours are essential to advanced driver
assistance systems (ADAS) and the comprehensive understanding of complex driving …
assistance systems (ADAS) and the comprehensive understanding of complex driving …
A driving intention prediction method based on hidden Markov model for autonomous driving
In a mixed-traffic scenario where both autonomous vehicles and human-driving vehicles
exist, a timely prediction of driving intentions of nearby human-driving vehicles is essential …
exist, a timely prediction of driving intentions of nearby human-driving vehicles is essential …
Learning and inferring a driver's braking action in car-following scenarios
Accurately predicting and inferring a driver's decision to brake is critical for designing
warning systems and avoiding collisions. In this paper, we focus on predicting a driver's …
warning systems and avoiding collisions. In this paper, we focus on predicting a driver's …