Systems and methods for automated driving high performance computing
An automated driving high performance computing (AD HPC) system for a vehicle includes a base HPC layer including HPC hardware and an upper software layer above the base HPC layer, the upper software layer including an intermediate basic software layer including at least one operating system (OS) and middleware, and an upper application software layer above the intermediate basic software layer and including a set of autonomous driving features from level zero (L0) autonomous driving up to level five (L5) autonomous driving, wherein the AD HPC does not require distributed electronic control units (ECUs) or software designed for different hardware configurations thereby reducing implementation and update complexity.
1 . An automated driving high performance computing (AD HPC) system for a vehicle, the AD HPC system comprising:
a set of sensors configured to measure operating parameters of the vehicle;
a set of actuators configured to control operating parameters of the vehicle; and
a single electronic control unit (ECU) in communication with the sets of sensors and actuators and including HPC hardware comprising at least a microcontroller, a system-on-chip (SoC), a dynamic random access memory (DRAM), and a set of communication transceivers, wherein the single electronic control unit defines:
a base HPC layer including the HPC hardware; and
an upper software layer above the base HPC layer, the upper software layer comprising:
an upper application software layer including a set of autonomous driving features from level zero (L0) autonomous driving up to level five (L5) autonomous driving; and
an intermediate basic software layer between the base HPC layer and the upper application software layer and including (i) both a general operating system (OS) and a real-time safety OS configured to execute at least some of the set of autonomous driving features and (ii) middleware configured to interface between the intermediate basic software layer and the upper application software layer,
wherein the AD HPC does not require distributed ECUs or software designed for different hardware configurations thereby reducing implementation and update complexity.
2 . The AD HPC system of claim 1 , further comprising an over-the-air (OTA) update feature configured to receive an OTA update including an update to the upper application software layer including at least one of the set of autonomous driving features.
3 . The AD HPC system of claim 2 , wherein the OTA update includes a new autonomous driving feature for the set of autonomous driving features that was not previously developed for the vehicle.
4 . The AD HPC of claim 3 , wherein the new autonomous driving feature, after the OTA update, is level three (L3) or greater up to and including L5.
5 . The AD HPC system of claim 1 , wherein the set of autonomous driving features includes L0 to L2+ autonomous driving features including (i) a set of active safety features, (ii) a set of parking features, (iii) adaptive cruise control (ACC), lane centering/changing, and hands-free driving.
6 . The AD HPC system of claim 5 , wherein the set of autonomous driving features includes L3 to L5 autonomous driving features including at least one of (i) low speed attention free driving, (ii) piloted urban driving, and (iii) autonomous ride hailing.
7 . The AD HPC system of claim 1 , wherein the HPC hardware does not include distributed or separate ECUs for cameras, RADAR/LIDAR, parking, driving monitoring, and domain control.
8 . The AD HPC system of claim 1 , wherein the HPC hardware further includes at least one controller area network (CAN) bus transceivers, local interconnect network (LIN) transceivers, Ethernet switches, power supplies, and de-serializers.
9 . The AD HPC system of claim 8 , wherein the intermediate basic software layer includes both classic and adaptive Automotive Open System Architecture (AUTOSAR) platforms.
10 . The AD HPC of claim 1 , wherein the set of autonomous driving features include at least (i) a first autonomous driving feature between L0 and level two (L2) and (ii) a second autonomous driving feature of level three (L3) or greater up to and including L5.
11 . A method of implementing an automated driving high performance computing (AD HPC) system for a vehicle, the method comprising:
providing a set of sensors configured to measure operating parameters of the vehicle and a set of actuators configured to control operating parameters of the vehicle; and
providing a single electronic control unit (ECU) in communication with the sets of sensors and actuators and including HPC hardware comprising at least a microcontroller, a system-on-chip (SoC), a dynamic random access memory (DRAM), and a set of communication transceivers, wherein the single electronic control unit defines:
a base HPC layer including the HPC hardware; and
an upper software layer above the base HPC layer, the upper software layer comprising:
an upper application software layer above the intermediate basic software layer and including a set of autonomous driving features from level zero (L0) autonomous driving up to level five (L5) autonomous driving; and
an intermediate basic software layer between the base HPC layer and the upper application software layer and including (i) both a general operating system (OS) and a real-time safety OS configured to execute at least some of the set of autonomous driving features and (ii) middleware configured to interface between the intermediate basic software layer and the upper application software layer,
wherein the AD HPC does not require distributed electronic control units (ECUs) ECUs or software designed for different hardware configurations thereby reducing implementation and update complexity.
12 . The method of claim 11 , further comprising providing an over-the-air (OTA) update layer feature to receive an OTA update for the upper application software layer including at least one of the set of autonomous driving features.
13 . The method of claim 12 , wherein the OTA update includes a new autonomous driving feature for the set of autonomous driving features that was not previously developed for the vehicle.
14 . The method of claim 12 , wherein the set of autonomous driving features include at least (i) a first autonomous driving feature between L0 and level two (L2) and (ii) a second autonomous driving feature of level three (L3) or greater up to and including L5.
15 . The method of claim 11 , wherein the set of autonomous driving features includes L0 to L2+ autonomous driving features including (i) a set of active safety features, (ii) a set of parking features, (iii) adaptive cruise control (ACC), lane centering/changing, and hands-free driving.
16 . The method of claim 15 , wherein the set of autonomous driving features includes L3 to L5 autonomous driving features including at least one of (i) low speed attention free driving, (ii) piloted urban driving, and (iii) autonomous ride hailing.
17 . The method of claim 15 , wherein the new autonomous driving feature, after the OTA update, is level three (L3) or greater up to and including L5.
18 . The method of claim 11 , wherein the HPC hardware does not include distributed or separate ECUs for cameras, RADAR/LIDAR, parking, driving monitoring, and domain control.
19 . The method of claim 11 , wherein the HPC hardware further includes at least one of controller area network (CAN) bus transceivers, local interconnect network (LIN) transceivers, Ethernet switches, power supplies, and de-serializers.
20 . The method of claim 19 , wherein the intermediate basic software layer includes both classic and adaptive Automotive Open System Architecture (AUTOSAR) platforms.