Publication | Closed Access
A Human-Like Traffic Scene Understanding System: A Survey
20
Citations
45
References
2020
Year
Artificial IntelligenceAutomotive TrackingScene AnalysisEngineeringAutonomous Vehicle NavigationAdvanced Driver-assistance SystemAutonomous SystemsIntelligent SystemsIntelligent Traffic ManagementImage AnalysisPattern RecognitionAutonomous VehiclesMachine VisionObject DetectionIntelligent PerceptionComputer ScienceAutonomous DrivingComputer VisionScene InterpretationAutomation
Autonomous vehicles, also known as self-driving cars, have the capability to perceive the environment, locate its position, and safely drive to the destination without any human intervention. This field has made amazing improvements because of the advanced technologies and progress of the artificial intelligence (AI) field. While the existing surveys have addressed many topics, e.g., vehicle sensors, perception, and object detection, none of the existing works summarize the work studying the ability of human-like understanding, e.g., common sense reasoning. Therefore, in this article, we present a novel system flow for empowering autonomous vehicles to understand the traffic scene and summarize the state of the art research.
| Year | Citations | |
|---|---|---|
Page 1
Page 1