Technical Tips | Dual TDA4VM NOA integrated driving and parking solution
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At present, the term "designated driver" is used more and more frequently in our daily life. In addition to real drivers, cars themselves are becoming more and more intelligent and are becoming more and more effective co-pilots for drivers. Develop a dynamic system that can help cars perceive, understand and respond quickly to the world around them, so that the car itself can become an effective driver for the driver. Such a system requires data and the ability to process data in real time by combining computer vision and efficient deep learning neural networks. The dual TDA4VM Navigate on Autopilot (NOA) driving and parking integrated solution we introduce today is such a system.
NOA Pilot Assisted Driving
realizes driving in high-frequency scenarios, such as point-to-point autonomous driving on urban loops, expressways, and highways. While NOA has comprehensively upgraded the ADAS function experience for assisted driving, it has also added automatic merging, automatic overtaking, automatic on and off ramps, automatic road network switching, etc., promoting the arrival of human-machine co-driving and bringing extraordinary driving experience to users. Ride experience.
In the current process of automobile intelligence, more cars are equipped with powerful ADAS functions. In the process of transitioning from scene-based autonomous driving technology to unmanned driving, NOA pilot assisted driving is an important milestone from advanced driver assistance (ADAS) to fully autonomous driving (FSD). NOA has opened an era of human-machine co-driving and created an immersive driving experience . How to design a low-cost, fully functional and flexible hardware configuration solution is a challenge faced by NOA's large-scale application. The NOA driving and parking integration solution based on TI's dual TDA4VM balances computing power, cost and energy consumption. The following is a detailed introduction to the dual TDA4VM NOA driving and parking integration solution:
ADAS Applications
ADAS solutions need to extract data from different sensor sets and convert the data into driving intelligence for the vehicle. These sensors need to be equipped with at least different types of cameras, radars, and ultrasonic waves; the solution presented in this article uses two TDA4VMs, connected to 11 cameras, 5 millimeter-wave radars, and 12 ultrasonic radars, i.e., the 11V5R12USS integrated driving and parking solution. The system block diagram is shown in the figure below. TDA4VM_A is connected to four panoramic cameras and two forward cameras. TDA4VM_B is connected to four side-view cameras and one forward camera.
1. In terms of driving, it can realize blind spot detection (BSD), door opening warning (DOW), lane departure warning (LCW), forward collision warning (FCW), only high beam control (IHC), and forward crossing warning (FCTA). , Rear Cross Traffic Alert (RCTA), Rear Collision Warning (RCW), Adaptive Cruise Control (ACC), Lane Keeping Assist (LKA), Manual Lane Change (PLC), Traffic Jam Assist (TJA), High Speed Driving Assist (HWA), Functions such as automatic emergency braking (AEB), interactive highway automatic driving (HWP), interactive highway congestion automatic driving (TJP), and automatic assisted navigation (NOA);
2. In terms of parking, it can realize panoramic function (AVM), automatic parking assist (APA), remote parking assist (RPA), home area memory parking (HAVP) and other functions;
3. In terms of safety, TI Jacinto™ 7 processors have GP and HS (high security) chips, which integrate ASIL D MCUs. High security chips can support secure boot and safety-critical functions, allowing users' products to meet automotive quality and reliability goals.
TI Security Framework
4. Scalability. The TDA4VM processor belongs to a heterogeneous multi-core architecture. In addition to ARM A72, digital signal processing C7x/C66, MCU R5F and other computing cores, internal VPAC, DMPAC and other accelerators effectively reduce the load of the main core, thus making the application It can be deployed flexibly to promote continuous function customization, optimization and expansion.
5. In terms of computing power, this solution uses dual TDA4VM chips. A single chip C7x/MMA can achieve 8TOPS computing power, and the total computing power is 16TOPS, which can realize the introduced sensing functions. The AI computing power of the TDA4VM_A chip is mainly used for the perception of the panoramic camera, forward camera 1, and forward camera 2. The computing power AI of the TDA4VM_B chip is mainly used for the perception of side-view cameras and forward-facing cameras 3.
The development of the system must be cost-effective in order to achieve widespread and effective utilization. The NOA integrated driving and parking solution using dual TDA4VM balances computing power, cost, and power consumption. It has rich driving and parking functions and a high-security system, bringing users centimeter-level control accuracy, safe and comfortable immersion. style driving experience.
TI's latest generation Jacinto™ 7 ADAS TDA4VM processor integrates key functional safety features on the chip. The importance of high-performance system-on-chip (SoC) lies in its ability to perform parallel processing. The Jacinto7 TDA4 processor can scale from simple situations (fewer sensors, lower resolution) to the most complex situations and help reduce system costs, thereby popularizing and popularizing ADAS technology. The dual TDA4VM NOA driving and parking integrated solution is the perfect answer to achieve a balance between computing power, cost and energy consumption. TDA4x leads the new era of intelligent driving with leading integration and rich ADAS functions.
For more than 30 years, TI has been fortunate to participate in and witness the rise of China's local automotive industry. Now, with the wave of automotive electrification, intelligence and connectivity, through TI's complete local support system, we will continue to empower the automotive industry and meet future challenges and opportunities with Chinese customers.
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