What new technologies are being developed to make driving safer? Will they remedy all the problems of driver distraction? Are we ready for an automated car to do the driving for us?
5 evidence-based tips for designing effective sports training (Time ???).
• To make driving safer we need to consider the driver-vehicle-roadway system not just blame it all on the driver
• To improve the driver component of the system we could make licensing procedures more stringent or require more training, but not many people would be happy with these changes.
• A lot of effort has already been put into re-engineering roadways to make them safer but it is expensive and assumes that driving accidents are due to determinant errors
• More effort recently has been focused on improving the interface between the driver and the road: the vehicle.
• There are four basic types of “driving assistance systems” being developed: (i) driver warnings (e.g. collision lane departure), (ii) perceptual enhancement systems (e.g., night vision and head-up displays), (iii) intervention systems which temporarily take over control of the vehicle (e.g., anti-lock brakes or assisted steering), and (iv) automated vehicles
• Research on enhancement systems like night vision has shown it is not good to give a driver a stream of complex information but instead just highlight the critical things
• A critical issue with warning systems is giving the driver the information when they need it so as not to annoy them
• Automated vehicles have several potential benefits including increased safety, environmental (e.g., by allowing cars to travel closer together to reduce fuel costs) but there are still many issues to be resolved (e.g., keeping the driver “in the loop” in case they need to take over and who will be responsible when accidents occur).
Evaluation of Six Night Vision Enhancement Systems: Qualitative and Quantitative Support for Intelligent Image Processing
Allocation of visual attention while driving with simulated augmented reality
Towards real-time recognition of driver intentions
Analysis of Human-Machine Cooperation When Driving with Different Degrees of Haptic Shared Control
Five evidence-based principles of effective practice and instruction
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