Safety and performance integration device for non-autonomous vehicles

Abstract

A method, apparatus, and system for integrating a non-autonomous vehicle into a transit environment populated with autonomous vehicles. An autonomous vehicle network integration apparatus is disclosed which collects data over a wireless network regarding a vehicle's route and surroundings, including nearby fully and partially autonomous vehicles. The apparatus is configured to analyze data and dynamically determine a range of influence, within which it communicates with vehicles to suggest driver actions and inform self-driving vehicle behavior.

I claim: 
     
         1 . A method for integrating a non-autonomous vehicle into an autonomous vehicle network, comprising:
 activating an autonomous vehicle network integration application on a mobile device detected within a primary vehicle;   detecting a destination from the mobile device;   detecting a route to the destination from the mobile device;   detecting environmental conditions along the route based on vehicle sensors on the primary vehicle and data accessed through the mobile device;   detecting traffic conditions along the route based on data accessed through the mobile device;   calculating a base influence range using the environmental conditions and the traffic conditions;   monitoring on-board diagnostic data during operation of the primary vehicle, wherein the on-board diagnostic data includes location, velocity, and direction;   calculating an influence vector based on the location, the velocity, and the direction;   dynamically updating a moving influence range based on the base influence range and the influence vector;   detecting at least one secondary vehicle within at least one of the base influence range and the moving influence range;   transmitting the influence vector to the secondary vehicle;   receiving a secondary influence vector from the secondary vehicle;   dynamically updating the moving influence range based on the secondary influence vector; and   providing continuous guidance to a driver through the mobile device, wherein the continuous guidance comprises route navigation guidance and hazard avoidance guidance.   
     
     
         2 . The method of  claim 1 , further comprising:
 detecting the driver within the primary vehicle;   loading a driver profile for the driver detected; and   modifying at least one of the base influence range and the influence vector based on the driver profile.   
     
     
         3 . The method of  claim 2 , wherein the driver is detected by selecting the driver from the autonomous vehicle network integration application. 
     
     
         4 . The method of  claim 2 , wherein the driver is detected by detecting the mobile device associated with the driver. 
     
     
         5 . The method of  claim 2 , further comprising:
 logging driver actions, wherein the driver actions include acceleration, deceleration, turns, lane excursions, braking, and signaling;   detecting when the driver actions indicate hazardous driving; and   updating the driver profile when the driver actions indicating the hazardous driving are detected.   
     
     
         6 . The method of  claim 2 , wherein the driver profile includes a priority metric. 
     
     
         7 . The method of  claim 1  further comprising:
 loading a vehicle profile for the primary vehicle, wherein the vehicle profile comprises at least one of mass, engine power, acceleration capability, deceleration capability, turning radius, the vehicle sensors available, an automation level, and other physical and performance parameters; and 
 modifying at least one of the base influence range and the influence vector based on the vehicle profile. 
 
     
     
         8 . The method of  claim 1 , further comprising:
 calculating a base awareness range, wherein the base awareness range extends beyond the base influence range;   dynamically calculating a moving awareness range based on the base awareness range and the influence vector;   detecting the secondary vehicle within the moving awareness range; and   transmitting the influence vector to the secondary vehicle within the moving awareness range.   
     
     
         9 . The method of  claim 1 , further comprising:
 calculating a base hazard range, wherein the base hazard range lies within the base influence range;   dynamically calculating a moving hazard range based on the base hazard range and the influence vector; and   providing the hazard avoidance guidance when obstacles are detected within the moving hazard range.   
     
     
         10 . The method of  claim 1 , further comprising calculating the secondary influence vector based on input from the vehicle sensors on condition that the secondary influence vector is not received from the secondary vehicle. 
     
     
         11 . An autonomous vehicle network integration apparatus, the autonomous vehicle network integration apparatus comprising:
 an on-board diagnostics connection port;   a wireless transceiver;   a processor; and   a memory storing instructions that, when executed by the processor, configure the apparatus to:
 activate an autonomous vehicle network integration application on a mobile device detected within a primary vehicle; 
 detect a destination from the mobile device; 
 detect a route to the destination from the mobile device; 
 detect environmental conditions along the route based on vehicle sensors on the primary vehicle and data accessed through the mobile device; 
 detect traffic conditions along the route based on data accessed through the mobile device; 
 calculate a base influence range using the environmental conditions and the traffic conditions; 
 monitor on-board diagnostic data during operation of the primary vehicle, wherein the on-board diagnostic data includes location, velocity, and direction; 
 calculate an influence vector based on the location, the velocity, and the direction; 
 dynamically update a moving influence range based on the base influence range and the influence vector; 
 detect at least one secondary vehicle within the moving influence range; 
 transmit the influence vector to the secondary vehicle within the moving influence range; 
 receive a secondary influence vector from the secondary vehicle; 
 dynamically update the moving influence range based on the secondary influence vector; and 
 provide continuous guidance to a driver, wherein the continuous guidance comprises route navigation guidance and hazard avoidance guidance. 
   
     
     
         12 . The autonomous vehicle network integration apparatus of  claim 11 , wherein the on-board diagnostics connection port comprises a wired connection between an on-board diagnostics system of the primary vehicle. 
     
     
         13 . The autonomous vehicle network integration apparatus of  claim 11 , wherein the on-board diagnostics connection port comprises an on-board diagnostics wireless transceiver physically connected to an on-board diagnostics system of the primary vehicle in communication with the wireless transceiver of the autonomous vehicle network integration apparatus. 
     
     
         14 . The autonomous vehicle network integration apparatus of  claim 11 , further comprising a universal serial bus port. 
     
     
         15 . An autonomous vehicle network integration system, the autonomous vehicle network integration system comprising:
 a primary vehicle, wherein the primary vehicle is not an autonomous vehicle and the primary vehicle includes an on-board diagnostics system;   a mobile device, wherein the mobile device is configured with an autonomous vehicle network integration application; and   an autonomous vehicle network integration apparatus, wherein the autonomous vehicle network integration apparatus is configured to:
 activate the autonomous vehicle network integration application on the mobile device detected within the primary vehicle; 
 detect a destination from the mobile device; 
 detect a route to the destination from the mobile device; 
 detect environmental conditions along the route based on vehicle sensors on the primary vehicle and data accessed through the mobile device; 
 detect traffic conditions along the route based on data accessed through the mobile device; 
 calculate a base influence range using the environmental conditions and the traffic conditions; 
 monitor on-board diagnostic data during operation of the primary vehicle, wherein the on-board diagnostic data includes location, velocity, and direction; 
 calculate an influence vector based on the location, the velocity, and the direction; 
 dynamically update a moving influence range based on the base influence range and the influence vector; 
 detect at least one secondary vehicle within the moving influence range; 
 transmit the influence vector to the secondary vehicle within the moving influence range; 
 receive a secondary influence vector from the secondary vehicle; 
 dynamically update the moving influence range based on the secondary influence vector; and 
 provide continuous guidance to a driver, wherein the continuous guidance comprises route navigation guidance and hazard avoidance guidance. 
   
     
     
         16 . The autonomous vehicle network integration system of  claim 15 , wherein the primary vehicle is a low priority vehicle, the secondary vehicle is a high priority vehicle, and the route navigation guidance comprises proactive routing instructions configured to guide the low priority vehicle to the destination using the route that minimizes interference with the high priority vehicle. 
     
     
         17 . The autonomous vehicle network integration system of  claim 15 , the autonomous vehicle network integration apparatus further configured to:
 detecting the driver within the primary vehicle;   load a driver profile for the driver detected; and   load a vehicle profile for the primary vehicle, wherein the vehicle profile comprises at least one of mass, engine power, acceleration capability, deceleration capability, turning radius, the vehicle sensors available, an automation level, and other physical and performance parameters.   
     
     
         18 . The autonomous vehicle network integration system of  claim 16 , further comprising an autonomous vehicle network integration data management center, wherein the autonomous vehicle network integration data management center stores at least one of the driver profile and the vehicle profile. 
     
     
         19 . The autonomous vehicle network integration system of  claim 17 , wherein the autonomous vehicle network integration data management center interacts with third-party databases to collect data for inclusion in at least one of the driver profile and the vehicle profile. 
     
     
         20 . The autonomous vehicle network integration system of  claim 17 , wherein the autonomous vehicle network integration apparatus communicates with the autonomous vehicle network integration data management center through a dedicated communication channel. 
     
     
         21 . The autonomous vehicle network integration system of  claim 17 , wherein the autonomous vehicle network integration apparatus communicates with the autonomous vehicle network integration data management center through a mesh network, wherein the mesh network comprises at least one additional wireless transceiver detected within at least one of the base influence range and the moving influence range.