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Advanced Driver Assistance Systems (ADAS)

This image shows Advanced Driver Assistance Systems (ADAS)

This image shows Advanced Driver Assistance Systems (ADAS)

Advanced safety vehicles (ASVs) equipped with camera vision-based advanced driver assistance systems (ADAS) are becoming rapidly more prevalent. ADAS uses one or multiple automotive cameras (monocular or stereo cameras) to detect and recognize vehicles, pedestrians, traffic signs and the like around a vehicle, as well as the state of the driver and passengers using image recognition technologies. Toshiba's TMPV75 and TMPV76 series of image recognition processors integrate RISC-type Media Processing Engines (MPEs) and image processing accelerators suitable for various image processing applications for ADAS.  To achieve high image data processing performance, the MPE has  parallelism architectures at three granularity levels—multi core processing for task-level parallelism, VLIW (Very Long Instruction Word) for instruction-level parallelism and SIMD (Single Instruction Stream, Multiple Data Stream) for data-level parallelism.  The image processing accelerators help realize real-time image processing under low power consumption.

Examples of Image Recognition Applications for Advanced Driver Assistance Systems (ADAS)

This figure shows the Examples of Image Recognition Processing Applications.

Lane Departure Warning (LDW)
An LDW system warns a driver in highway if the own car may depart from the current travel lane without lane change signal by detecting traffic lane markings from image data of a front or rear camera.
Traffic Sign Recognition (TSR)
A TSR system recognizes traffic signs using image data from a front-mounted monocular camera and displays the recognized information of the recognized traffic signs on a display panel. This system may be used to compare the recognized speed limit with the vehicle speed read via CAN and then it notifies a driver.
Forward Collision Warning (FCW)
An FCW system detects vehicles in front of the own car by using image data from a stereo camera or a monocular camera with milliwave radar at the front of the own car and warns a driver of a potential collision risk, based on the distance between the both vehicles and the own vehicle's speed. A BCW (Backward Collision Warning) system detects vehicles in rear of the own car by using image data from a rear monocular camera.
Lane Change Assistance (LCA)
An LCA system detects obstacles such as nearby vehicles for lane change assistance and warns the driver of the danger of hitting them. It uses a monocular camera at the rear or two monocular cameras (at the rear-right and rear-left).
Obstacle Detection
An obstacle detection system detects obstacles such as vehicles around own car for lane change assistance and forward collision warning. It uses three monocular cameras (one at the front and one each at the rear-right and rear-left).
Right/Left Turn Awareness
A left/right-turn awareness system detects pedestrians, bicycles and motorcycles using cameras mounted on either the left or right side of the own car and warns the driver of the danger of hitting them.
Forward Pedestrian Collision Warning
A forward pedestrian collision warning system detects pedestrians with a front-mounted camera and alerts a driver. Infrared camera is used in the nighttime (Such system is also called Night Vision). Backover prevention (backward pedestrian collision warning) system can be realized by mounting a camera at the rear of own vehicle.
Driver State Monitoring (DSM)
A DSM system tracks the driver's face direction and notifies if the driver is not paying attention to the ahead.
Parking Assistance with Bird's Eye View
This system captures images around own vehicle by using four fish-eye or wide angle lens cameras and converts these 4 images to bird's-eye view point images and displays synthesized image from the above 4 converted images and a top view image of the own vehicle to assist when parking.
High-Beam Assistance
This application detects the headlights of oncoming vehicles and the taillights of leading vehicles to automatically select an appropriate lighting range from the high and low beams.
Traffic Signal Recognition
This application detects red traffic lights and warns the driver if a vehicle shows a sign of going through a red light.
General Stationary Obstacle Collision Warning
This application detects general obstacles on the road, including fallen objects, rockslides, landslides and traffic cones, and warns the driver when there is a danger of collision.

Image Recognition Solutions of ADAS

ADAS: Front and Surround View Monitoring Solution

The TMPV75 and TMPV76 Series of image recognition processors are capable of processing input images from one to four cameras in real time (and allow connection of up to eight cameras). The TMPV75 and TMPV76 Series can run multiple ADAS applications in parallel to recognize vehicles, pedestrians, traffic lines, traffic signs and the like around the vehicle on which it is mounted. Possible applications include vehicle detection and collision warning; pedestrian detection and collision warning; lane detection and departure warning; traffic sign recognition; and red-signal detection. The TMPV75 and TMPV76 Series combine high performance and low power consumption.
In order to achieve high recognition of pedestrians in dark places where neither headlights nor street lamps reach, the TMPV76 Series combines CoHOG (Co-occurrence Histograms of Oriented Gradients) with Color-CoHOG and three other types of color-based feature descriptors.

Image Recognition System for Front and Surround View Monitoring

This figure shows a typical system block diagram using the TMPV760 Series.

ADAS Monocular-Camera Rear-View Monitoring Solution (Rear-View Monitor, Electronic Rear-View Mirror, Electronic Door Mirrors)

The TMPV7502XBG combines high image recognition performance with low power consumption (0.6 W typical, as measured by Toshiba) due to the use of a single video input interface channel for a monocular camera. Consequently, the TMPV7502XBG is available in a small package. It is suitable for rear-view monitor, electronic rear-view mirror and electronic door mirror applications that provide vehicle and pedestrian recognition and moving-object detection capabilities.

Image Recognition  System for  Rear-View Monitoring

This figure shows a typical system block diagram using the TMPV7502XBG.

Recommended Products

Image Recognition Processors
Part Number Series CPU MPE Image Processing Accelerator Video
Inputs
Main Features Package
TMPV7608XBG TMPV760
Series
Two Toshiba-original
32-bit RISC MePs
8 Affine Transform, Filter, Histogram, HOG,
Enhanced CoHOG, Matching, Pyramid, SfM

Up to
8 ch.
On-chip Memory, Memory Controller, CAN,
I2C, UART, SPI, PCM, Timer/Counter,
External MCU Interface, etc.
PFBGA796
TMPV7528XBG TMPV752
Series
Toshiba-original
32-bit RISC MeP and
ARM®Cortex®-A9 MPCore
4 Affine Transform, Filter, Histogram,
HOG, Matching

Up to
4 ch.
On-chip Memory, Memory Controller,
PCI Express®, CAN, I2C, UART, SPI,
PCM, Timer/Counter,
External MCU Interface, etc.
PBGA516


 

TMPV7506XBG


 

TMPV750
Series
Toshiba-original
32-bit RISC MeP
TMPV7504XBG
Affine Transform, Filter, Histogram, Matching
Up to
2 ch.
On-chip Memory, Memory Controller, CAN,
I2C, UART, SPI, PCM, Timer/Counter,
External MCU Interface, etc.
TMPV7502XBG 2 Affine Transform, Filter, Histogram,
HOG, Matching
1 ch On-chip Memory, Memory Controller, CAN,
I2C, UART, SPI, PCM, Timer/Counter, etc.
PLFBGA324

* The video input interface of the TMPV7608XBG has a 4-of-8 video switch.

Video Decoders (Automotive Display Processors)
Part Number Features & Functions Operating Temperature Supply Voltage Package
TC90105FG 2 ch video decoders, 2.5 V voltage regulator, newly developed HVD enhancer, horizontal aberration correction, ITUR-656 output –40 to +85°C 1.4 to 1.6 V
2.3 to 2.7 V
3.0 to 3.6 V
LQFP80
TC90107FG 1 ch video decoder, 2.5 V voltage regulator, newly developed HVD enhancer, horizontal aberration correction, ITUR-656 output LQFP64

* MIPI is a registered trademark of MIPI Alliance, Inc.

* ARM and Cortex are registered trademarks of ARM Limited in the EU and countries elsewhere.

* PCI Express and PCIe are registered trademarks of PCI-SIG.

* System and product names mentioned herein may be trademarks or registered trademarks of respective companies or organizations.

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