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Speed to Safety: Autonomous RC Car Aids Emergency Evacuation-reprint Nividia

WuXin

Speed to Safety: Autonomous RC Car Aids Emergency Evacuati

The alarm is ringing. You smell smoke and see people running for the exit, but you don’t do the same. Why? Because you’re the fire marshal. As the fire circles, you have the responsibility of making sure everyone gets out safely before you can save yourself.

 

Recently, four NVIDIA Jetson high school interns used neural networks to create two high-speed RACECARs that can do the job of a fire marshal. The RACECARs do many tasks at once at speeds of upwards of 5 Hz including steering, human detection, and navigation. Using Jetson TX1 and TX2s, the robots are able to process these tasks in parallel. At speeds of up to 30 mph, the RACECARs can analyze the environment around them faster and safer than a human can.

Multiple Networks. Two Cars. One Goal.

The RACECARs, named RaceX (left) and Epoch (right), have several sensors including an inertial measurement unit (IMU), a camera, and a LiDAR. The interns were able to use these sensors to fuel a custom multi-neural-network system that steers the car and detects people. These networks are brought together under a navigation structure that tells the car where to go and how to get there. All together, the whole system is autonomous.

 

Speed to Safety: Autonomous RC Car Aids Emergency Evacuation-reprint Nividia

WuXin

Speed to Safety: Autonomous RC Car Aids Emergency Evacuati

The alarm is ringing. You smell smoke and see people running for the exit, but you don’t do the same. Why? Because you’re the fire marshal. As the fire circles, you have the responsibility of making sure everyone gets out safely before you can save yourself.

 

Recently, four NVIDIA Jetson high school interns used neural networks to create two high-speed RACECARs that can do the job of a fire marshal. The RACECARs do many tasks at once at speeds of upwards of 5 Hz including steering, human detection, and navigation. Using Jetson TX1 and TX2s, the robots are able to process these tasks in parallel. At speeds of up to 30 mph, the RACECARs can analyze the environment around them faster and safer than a human can.

Multiple Networks. Two Cars. One Goal.

The RACECARs, named RaceX (left) and Epoch (right), have several sensors including an inertial measurement unit (IMU), a camera, and a LiDAR. The interns were able to use these sensors to fuel a custom multi-neural-network system that steers the car and detects people. These networks are brought together under a navigation structure that tells the car where to go and how to get there. All together, the whole system is autonomous.