Accident prediction, avoidance and applications with dashcam data

This git collections articles on Accident prediction and avoidance. The goal of accident prediction tasks is different from the task of semantic segmentation, and motion planning of a single vehicle. Given that each vehicle has such methods in place, the larger scale problem is evaluating the risk in traffic/highway. One of the main sources of accidents are dash cam video data available on youtube. There has also been a recent effort in sharing this data freely across vehicles by anonymizing the driver/car.

Example of accident prediciton score from Dash cam videos (article below)

Articles :

• Anticipating Accidents in Dashcam Videos link pdf
• Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization pdf
• ViewMap: Sharing Private In-Vehicle Dashcam Videos pdf
• Extracting Driving Behavior: Global Metric Localization from Dashcam Videos in the Wild pdf
• Probabilistic Driving Models and Lane Change Prediction pdf
• A Scenario-Adaptive Driving Behavior PredictionApproach to Urban Autonomous Driving pdf
• When will it change the lane? A probabilistic regression approach for rarely occurring events link
• Probabilistic Online POMDP Decision Making for Lane Changes in Fully Automated Driving link
• Probabilistic Lane Change Prediction in Highway Scenarios (master thesis) pdf
• Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network pdf

Other

• link
• A Non-Conservatively Defensive Strategy for Urban AutonomousDriving pdf