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Recycle TI Automotive Driver Assist SoCs:ADAS/AD Automotive Camera,In-Cabin Systems

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I. Core Architecture and Technical Foundation of TI’s Driver Assistance SoCs

TI’s automotive ADAS/AD-dedicated SoCs adopt a heterogeneous multi-core converged architecture, moving away from traditional single-computing-power designs. They integrate general-purpose computing cores, dedicated DSPs, NPUs (neural network processing units), graphics GPUs and dedicated image signal processors (ISPs), balancing general-purpose control, deep learning AI inference, image signal processing and real-time data computation, perfectly meeting the demands of parallel multi-tasking in automotive scenarios whilst achieving an optimal balance between computing power, power consumption and security.

The core hardware architecture incorporates TI’s next-generation C7 series DSP and proprietary NPU architecture. Compared to traditional automotive processors, this significantly enhances AI inference efficiency, enabling rapid execution of complex algorithms such as image recognition, object detection, trajectory prediction and sensor fusion. Furthermore, the entire chip series complies with the AEC-Q100 reliability standard and ISO 26262 functional safety certification for automotive applications, supporting ASIL-B/D safety levels. This effectively mitigates the risk of system failures during in-vehicle operation and meets the stringent safety compliance requirements for autonomous driving. Furthermore, the chips integrate high-speed automotive interfaces and low-power power management modules, making them suitable for complex in-vehicle operating conditions such as extreme temperatures and electromagnetic interference, and demonstrating exceptional adaptability to the automotive environment.

II. In-Vehicle Camera Vision System Solutions for ADAS/AD

In-vehicle cameras serve as the ‘eyes’ of ADAS/AD systems. TI’s driver assistance SoCs are deeply optimised for multi-camera perception scenarios, providing full-stack vision processing solutions ranging from monocular high-definition cameras to multi-camera surround-view and high-dynamic-range perception, thereby enabling the full implementation of external environment perception capabilities for the entire vehicle.

1. Full-Scenario Camera Adaptability

TI’s SoC supports the synchronous connection and parallel processing of multiple high-definition in-vehicle cameras. It is compatible with all types of in-vehicle cameras, including front-facing monocular, front-facing stereo, side-view, rear-view, surround-view and fisheye panoramic cameras. It can integrate mainstream camera modules such as high-definition RGB and RGB-IR, supporting high-resolution, high-frame-rate image capture. At the same time, through its proprietary ISP (Image Signal Processor), it performs pre-processing tasks such as image denoising, backlight optimisation, distortion correction, colour restoration and other pre-processing tasks, resolving image blurring issues caused by complex lighting conditions, rain, snow and backlighting in automotive environments, and ensuring visual perception accuracy under extreme operating conditions.

Entry-level solutions can utilise the AM62A7-Q1 chip to achieve lightweight processing of 1–2 camera channels, supporting basic front-facing ADAS functions; The mid-to-high-end TDA4 series chips support synchronous decoding and AI processing across multiple cameras, meeting the multi-camera perception requirements for panoramic surround view, automated parking and advanced driver assistance systems.

2. Implementation of Core ADAS Visual Functions

Leveraging the chips’ powerful AI computing power and visual processing capabilities, a full suite of mainstream ADAS visual functions can be realised, covering both basic driver assistance and advanced autonomous driving perception capabilities. Basic functions include lane-keeping assist, lane departure warning, automatic high/low beam switching, traffic sign recognition, pedestrian and non-motorised vehicle detection, and forward collision warning; advanced functions support panoramic parking views, automated parking, precise obstacle recognition, multi-target trajectory tracking and road surface condition sensing. The system also supports data fusion between visual, radar and ultrasonic sensors, enhancing the completeness and accuracy of environmental perception for autonomous driving.

III. In-Vehicle Intelligent Perception Systems Based on TI SoCs

Driven by the intelligent upgrading of complete vehicles and in-vehicle safety regulations across various countries, in-vehicle perception systems have become standard equipment in smart cars, covering three core scenarios: driver monitoring, occupant detection and intelligent cockpit interaction. Leveraging their advantages of lightweight design, cost-effectiveness and high integration, TI’s driver assistance SoCs serve as the core computing power backbone for in-vehicle perception systems, supporting a wide range of in-vehicle visual intelligence applications.

1. Driver Monitoring System (DMS)

TI’s SoC solution, optimised specifically for in-vehicle monitoring scenarios, captures real-time images of the driver’s face via an in-vehicle infrared camera. Leveraging the chip’s built-in AI computing power, it performs core operations such as facial landmark detection, fatigue recognition, distraction monitoring and driver identification in real time. It can accurately identify hazardous behaviours such as closing one’s eyes, yawning, looking down at a mobile phone, or diverting one’s gaze from the road, triggering timely warning alerts to effectively reduce the safety risks associated with drowsy and distracted driving. The AM62A7-Q1 chip, in particular, is designed specifically for entry-level DMS applications. Its lightweight 2 TOPS computing power meets the real-time processing requirements of a single-channel driver monitoring camera, whilst offering lower power consumption and better value for money, making it suitable for mass-produced, mainstream vehicle models.

2. Occupant Monitoring System (OMS)

To address the need for rear-seat occupant safety monitoring, TI’s SoC supports parallel processing of multiple in-vehicle cameras, enabling functions such as rear-seat occupant presence detection, child left-behind detection, occupant posture monitoring and seatbelt reminder alerts. Through high-precision vision algorithms, it accurately distinguishes between adults and children and identifies whether items left in the vehicle or living occupants are present, thereby mitigating safety risks such as children being left behind in the vehicle or occupants not wearing seatbelts correctly, and meeting the mandatory requirements of the latest in-vehicle safety regulations. Additionally, the chip supports privacy-preserving image pre-processing, enabling image encryption and de-identification to be carried out locally, thereby safeguarding the privacy of vehicle occupants.

3. Intelligent Cockpit Interaction System

Leveraging the SoC’s graphics processing and AI interaction capabilities, this system enables intelligent upgrades to the cockpit, delivering interactive functions such as in-car gesture recognition, facial recognition unlocking and intelligent scenario adaptation. By integrating in-car visual data with the vehicle’s onboard systems, it can automatically adapt scenario-based functions—including seat adjustment, ambient lighting control and optimised voice activation—thereby enhancing the intelligent cockpit experience. Furthermore, the chip’s highly integrated design streamlines the cabin hardware architecture, reducing both the hardware costs and the wiring complexity of the vehicle’s cabin system.

IV. Positioning of TI’s Mainstream ADAS/AD Driver Assistance SoC Core Models

TI’s driver assistance SoC product line covers entry-level, mid-range and high-end automotive scenarios across the entire spectrum, precisely matching the ADAS and in-car system configuration requirements of different vehicle models to form a comprehensive product matrix:

- AM62A7-Q1 (Entry-level): Designed for lightweight in-vehicle perception and basic ADAS visual scenarios, it features 2 TOPS of AI computing power, supports 1–2 in-vehicle cameras, and integrates an RGB-IR ISP processor. Focused on driver monitoring and basic front-facing camera assistance functions, it offers extremely low power consumption and outstanding value for money, making it suitable for basic smart configurations in economy passenger cars and commercial vehicles.

- TDA4VL-Q1 (mid-range flagship): Equipped with dual-core Cortex-A72 cores and 4 TOPS of AI computing power, it integrates a C7x DSP and GPU. It balances external ADAS visual perception with in-cabin intelligent monitoring, supports simultaneous processing of multiple camera feeds, and enables composite functions such as panoramic surround view, automated parking, and dual monitoring (DMS+OMS). It serves as the core chip for the intelligent systems of mainstream passenger vehicles.

- TDA4VH-Q1 (High-end Flagship): Featuring a high-computational-power heterogeneous architecture with significantly enhanced AI computing power, it supports multi-sensor fusion and parallel processing of multiple high-definition cameras. Suitable for high-end functions such as advanced driver assistance, fully automated parking and all-scenario in-vehicle intelligent perception, it meets the advanced smart technology requirements of mid- to high-end passenger vehicles.

- TDA2x Series (Classic General-Purpose): A mature, mass-produced chip suited to traditional ADAS basic scenarios. It supports front-view camera assistance, parking assistance and basic surround-view functions. Offering high stability and low mass-production costs, it is widely used in existing mass-produced vehicle models.