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AI-Powered Object Detection and Safety Alert System for Autonomous Driving

alltegrio.com

Automotive

Challenge

Toyota requires enhanced ADAS capabilities to reliably detect unknown objects in real-time and provide timely safety alerts to drivers. Current object detection systems exhibit limitations in identifying unfamiliar objects, leading to potential safety risks and hindering the advancement of autonomous driving features. Achieving 100% accuracy in object detection and increasing real-time recognition speed are critical for ensuring driver safety and building consumer confidence.

About the Client

A leading global automotive manufacturer committed to developing advanced driver-assistance systems (ADAS) and autonomous driving technologies.

Goals

Develop an AI-powered object detection system capable of accurately identifying a wide range of objects in real-time.
Improve vehicle safety by providing timely alerts to drivers regarding potential hazards.
Enhance the ADAS system with advanced object recognition capabilities, enabling safer and more reliable driving experiences.
Create a scalable and robust AI solution that can be integrated into Toyota's existing vehicle systems.
Reduce false negative and false positive detection rates to improve system reliability.

Functional Requirements

Real-time object detection and classification
Object tracking and trajectory prediction
Safety alert generation (visual, auditory, haptic)
Integration with vehicle's ADAS system
Support for multiple camera inputs
Ability to detect unknown objects and adapt to varying environmental conditions

Technology Stack

AWS (Amazon Web Services)

Python

PyTorch

TensorFlow

CVAT (Computer Vision Annotation Tool)

Integrations

Vehicle's CAN bus system for data exchange
Existing ADAS control unit
Cloud-based data storage and processing services

Non-Functional Requirements

Scalability to support a growing number of objects and vehicles.
Low latency for real-time performance.
High accuracy ( >98.5% object detection accuracy).
Robustness to varying lighting and weather conditions.
Secure data transmission and storage.

Expected Impact

Successful implementation of this project will significantly enhance Toyota's ADAS capabilities, leading to improved vehicle safety, reduced accident rates, and increased consumer confidence in autonomous driving technologies. The scalable solution will also serve as a foundation for future AI-driven automotive innovations and contribute to Toyota's leadership position in the automotive industry.