A dynamic hybrid choice model to quantify stress in a simulated driving environment
A new lane keeping method based on human-simulated intelligent control
A novel approach for model-based pedestrian tracking using automotive radar
A review on vehicle-trailer state and parameter estimation
A survey on cyber-security of connected and autonomous vehicles (CAVs)
An analysis of driver gaze behaviour at roundabouts
An automatic vehicle avoidance control model for dangerous lane-changing behavior
An extended social force model via pedestrian heterogeneity affecting the self-driven force
Automotive LiDAR technology: a survey
Better, faster small hazard detection: instance-aware techniques, metrics and benchmarking
Comparison of cooperative driving strategies for CAVs at signal-free intersections
Confidence-aware reinforcement learning for self-driving cars
Congestion-aware cooperative adaptive cruise control for mitigation of self-organized traffic jams
Deep learning in lane marking detection: a survey
Distracted driver detection based on a CNN with decreasing filter size
Driver distraction detection using octave-like convolutional neural network
Driving behavior analysis guidelines for intelligent transportation systems
Feature engineering and deep learning for stereo matching under adverse driving conditions
From human driving to automated driving: what do we know about drivers?
Generalized auto-sequencing bus headway control formulation
Human trajectory forecasting in crowds: a deep learning perspective
Intra-city traffic data visualization: a systematic literature review
Learning to drive like human beings: a method based on deep reinforcement learning
Modelling ethical algorithms in autonomous vehicles using crash data
Modelling of the vertical dynamics of an electric kick scooter
Night time vehicle detection and tracking by fusing vehicle parts from multiple cameras
Pedestrian-aware statistical risk assessment
Physics informed deep reinforcement learning for aircraft conflict resolution
Predicting driver takeover time in conditionally automated driving
Real-time intelligent automatic transportation safety based on big data management
Safe reinforcement learning for autonomous vehicle using Monte Carlo tree search
Scene-graph augmented data-driven risk assessment of autonomous vehicle decisions
Situation-aware drivable space estimation for automated driving
Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios
Three principles to determine the right-of-way for AVs: safe interaction with humans
Traffic signal timing and trajectory optimization in a mixed autonomy traffic stream
Trajectory planning of autonomous trucks for collision avoidance with rollover prevention