The highway and automotive are growing rapidly in China,the car safety has become an increasing attention.Automotive obstacle avoidance system plays an auxiliary role,which can early warn the car driving emergency to avoid traffic accidents.So,research on intelligent laser vehicle obstacle avoidance system has broad prospects for development and application,laying the foundation for future automobile main security control and unmanned vehicles.This paper puts the overall scheme of intelligent laser vehicle obstacle avoidance system design,using OK6410 as micro-controllers,laser sensor,TFT display screen and alarm module.System real-time monitors the front target through the laser sensor to track and TFT display screen is showed the target’s trajectory.when the distance between measured target and the vehicles is less than the computing safe distance,the system need to provide warning to the driver to take appropriate measures as slow down or brake;when this distance is greater than the safe distance,the system inhibit alarm.This paper mainly includes several aspects as follows:Firstly,the vehicle and pedestrian movement model and vehicle obstacle avoidance safety distance model are established.Secondly,the current statistical motion model and Kalman filter algorithm is combined in system,selecting the appropriate rectangle door-related fields to predict and track target.Thirdly,improving vehicle warning algorithm to protect the safety of the driver and lay the foundation for vehicle brake in the next step.Finally,model and algorithm are simulated and the system is verified on hardware OK6410 board.The man-machine interface and the trajectory tracking display on the TFT screen, which achieve the goal of tracking and warning.The system basically meet the safety requirements,which has positive significance in the active safety of vehicles and intelligent transportation.which has a positive meaning for automotive active safety systems and transportation efficiency.Concluding the full text and pointing out the inadequacies of thesystem and the work of the content in further research. |