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Found 7 papers, 2 papers with code
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation
To this end, we present CARL-D, a large-scale dataset and benchmark suite for developing 2D object detection and instance/pixel-level segmentation methods for self-driving cars.
Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured Roads
Alongside dataset, we also present an end-to-end drivable road region detection and steering angle estimation method to ensure the autonomous driving on generalized urban, rural, and unstructured road conditions.
Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms
Then, using SimConnect approach, fuzzy values of fear has been provided to the Netlogo simulation environment to simulate artificial society of AVs.
Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles
In the existing research, many rear end collision avoidance solutions have been proposed.
Towards Social Autonomous Vehicles: Efficient Collision Avoidance Scheme Using Richardson's Arms Race Model
The proposed social agent is based on a human-brain inspired mentalizing and mirroring capabilities and has been modelled for collision detection and avoidance under congested urban road traffic.
Emotion Controlled Spectrum Mobility Scheme for Efficient Syntactic Interoperability In Cognitive Radio Based Internet of Vehicles
Recently, Cognitive Radio (CR) based IoV have to be proven best wireless communication systems for vehicular networks.
Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach
Then the proposed fear generation mechanism has been validated using the Validated Agent Based Modeling level of CABC framework using a Virtual Overlay MultiAgent System (VOMAS).
