Camera-Based ADAS Object Detection

@Mahihassi

With my expertise in Electrical Engineering and Embedded Systems, I bring a valuable perspective to this project as a System Developer. My educational background and practical experience align with the responsibilities needed for this position. I am well-versed in ADAS system development, integration, and systems engineering within the automotive industry. Moreover, my proficiency extends to camera-based perception systems, sensor integration, and driver assistance functions - ensuring a smooth execution of your project. My knowledge of relevant automotive tools such as ADTF, CANoe,DORS,Jira,ODIS would immensely contribute to maintaining system requirements while providing efficient solution management. My ability to manage technical changes, issues and ensuring compliance with Functional Safety (ISO 26262) and Cybersecurity requirements would act as a safeguard throughout the development lifecycle. Apart from these skills and experience, I am an effective multi-disciplinary communicator. Your project's complexity and international nature won't hinder our collaboration. Meeting your realistic time expectancy while maintaining quality is a priority for me.

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@mubeenm5026

With over a decade of experience in software development and a specialization in AI applications, Web Crest brings unique advantages to your Camera-Based ADAS Object Detection project. While our broad skillset extends beyond the automotive sector, it aligns perfectly with your needs including Automotive Engineering, C Programming, Machine Learning (ML), all key requisites of the job. We have successfully integrated complex systems and managed large-scale projects with multidisciplinary teams. This sets us apart and uniquely positions us to tackle every aspect of your project with dedication and precision. One factor that strongly distinguishes us is our rigorous focus on security, performance, and scalability. Given the nature of the task at hand - camera-based ADAS development for vehicles, these attributes are non-negotiable and an essential part the software design we will bring to this project. Our knowledge of tools like ADTF, CANoe and ODIS helps further guarantee our ability to deliver a highly-functional and efficient system. What sets us even further apart is our business-focused approach. We deeply comprehend the importance of translating ideas into pragmatic, scalable solutions - a requirement that stems from our extensive experience in propelling ideas to product stage for startups, SMEs and enterprises alike.

@PINESCRIPTERR

Hi, I understand this role requires a systems developer with real ADAS vehicle-integration experience, not only software development. The focus is camera-based ADAS architecture, requirements traceability, vehicle-level integration, testing, defect analysis, and coordination across OEM/Tier-1 style stakeholders. I can support system architecture, requirements management, validation planning, issue tracking, supplier coordination, and test documentation around functions such as ISA, LKA, Travel Assist, and related camera-based driver assistance features. I’m comfortable working with structured automotive processes, traceability, change management, and safety/cybersecurity expectations such as ISO 26262, ASPICE, and automotive security requirements. I would approach the work by first reviewing the current requirements baseline, toolchain, open defects, vehicle integration status, and validation plan, then tightening requirement-to-test traceability and prioritizing the highest-risk ADAS integration issues. Question 1: Is this position strictly on-site in the Czech Republic, or is hybrid work possible? Question 2: Which toolchain is mandatory on the project: DOORS, CANoe, ADTF, Jira, ODIS, or a specific OEM stack? Regards, Houssame

@zahidhasta

Hi, Your project aligns with my background in AI, computer vision, and camera-based perception systems. I have experience developing and deploying vision pipelines using Python, OpenCV, PyTorch, TensorRT, and edge AI platforms, along with integrating perception modules into larger systems. I'm currently working as a Research Associate in AI/ML and Computer Vision, where I design, optimize, and validate vision algorithms for real-world applications. My work involves camera calibration, object detection, tracking, system optimization, and performance evaluation, giving me a strong foundation for ADAS-related development and validation. I'm comfortable working with requirements-driven development, root-cause analysis, system integration, testing, and documenting technical solutions. I also have experience working with Linux-based environments, automotive-style embedded systems, and sensor integration. Although my primary expertise is AI and computer vision rather than OEM-specific ADAS toolchains, I'm confident in quickly adapting to established workflows and contributing effectively to complex vehicle integration projects. I would welcome the opportunity to discuss how my computer vision and AI systems experience can support your ADAS development efforts. Best regards, Zahid Hassan

@trm66614

I am excited about the opportunity to contribute to camera-based ADAS development. With a strong background in C Programming, I can effectively develop the system architecture and ensure robust integration within vehicle environments. My experience in Machine Learning allows me to enhance features like Intelligent Speed Assistance and Lane Keeping Assistance. I am committed to defining and managing system requirements while ensuring compliance with Functional Safety standards. My analytical skills support performance evaluation and optimization throughout the development lifecycle. What challenges have you faced in prior ADAS implementations? Communication is key in multidisciplinary projects, and I am well-equipped to interface with various stakeholders effectively. Could you share more about existing systems in place for integration? What challenges have you faced in prior ADAS implementations? Is there a specific timeline for the integration and validation phases?

@PrateekP3003

Hello, I have experience working on automotive software and embedded system development, including system integration, requirements management, validation, and complex software architectures within safety-critical environments. I can contribute to the development and integration of camera-based ADAS functions while ensuring structured requirements traceability, system validation, and compliance with automotive development processes. I can support the complete ADAS development lifecycle, including system architecture, vehicle-level integration, requirements management, testing, root-cause analysis, and defect resolution. I am familiar with automotive engineering workflows, CAN-based communication, validation methodologies, and collaboration using tools such as DOORS, CANoe, Jira, and similar engineering toolchains while following industry standards including ISO 26262 and ASPICE. I'll also provide clear documentation and a handover session after the implementation. Best regards, Prateek

@abdf2010

Hi, I read your project "Camera-Based ADAS Object Detection" and I can help. I have solid experience in C Programming, CUDA, Machine Learning (ML) and can deliver clean, reliable work. Happy to discuss scope and start right away.

@invoketech

Hello, I've carefully reviewed your project requirements. I have experience working on automotive software, embedded systems, and complex system integration projects, collaborating with cross-functional engineering teams to deliver reliable, safety-focused solutions throughout the development lifecycle. I can contribute to the architecture, integration, and validation of camera-based ADAS functions, including requirements engineering, system-level testing, defect analysis, and technical documentation. My approach emphasizes structured development, end-to-end traceability, and close collaboration with stakeholders to ensure high-quality, production-ready implementations aligned with automotive standards. I am familiar with automotive development workflows, CAN-based communication, requirements management, validation methodologies, and tools commonly used in the industry such as CANoe, DOORS, Jira, and ADTF. I also understand the importance of Functional Safety (ISO 26262), ASPICE processes, cybersecurity considerations, and rigorous verification before vehicle integration. I look forward to discussing your ADAS program, technical environment, and how I can contribute to the successful delivery of your camera-based driver assistance systems. Thanks Invoke Tech

@nimitj42

Hello, I am interested in this opportunity. I have over 2 years of experience in Computer Vision and AI application development, working on image processing, object detection, machine learning, and system integration projects. I have experience collaborating with cross-functional teams, analyzing technical requirements, troubleshooting complex issues, and delivering reliable solutions. My background in computer vision and software development allows me to quickly understand ADAS-related concepts and contribute effectively to system development and validation activities. I am eager to discuss how my experience can support your project. Thank you for your consideration.

@iterativeTech

With my robust background in CUDA, Machine Learning (ML), and years of experience in AI/ML Engineering, I am the ideal candidate to spearhead your Camera-Based ADAS Object Detection project. My knowledge and capabilities span across the spectrum of ADAS system development, vehicle integration, and systems engineering. Moreover, I possess an in-depth understanding of camera-based perception systems, environment modeling, sensor integration, and driver assistance functions - all crucial to successfully accomplish this task. To ensure the highest quality results within your project timeframe my skillset includes working adeptly with automotive development and validation tools such as ADTF, CANoe, DOORS, Jira, ODIS will prove invaluable. Furthermore, my familiarity with relevant automotive standards (including ISO 26262), cybersecurity requirements, and change management processes reflects my attention to detail as well as adherence to compliance. Beyond my technical abilities, I communicate effectively in international/interdisciplinary project environments which is key considering the nature of this role. Coupled with my ability to tackle complex problems analytically in a structured independent manner and deliver executive-level reporting/data products – I ensure heightened efficiency and mitigated risks throughout the entire project lifecycle. So choose me for a result-oriented approach that aligns with your business objectives.

@jeanpatrickr8

Hello, I am excited about the opportunity to contribute to your Advanced Driver Assistance Systems (ADAS) project. I understand that you are seeking a System Developer to own and develop the system architecture for camera-based ADAS functions within a complex automotive environment, ensuring compliance with automotive standards. With a degree in Electrical Engineering and several years of experience in ADAS system development, I have successfully integrated and validated functionalities such as Intelligent Speed Assistance and Lane Keeping Assistance. I am proficient with tools like ADTF, CANoe, and DOORS, and possess a strong understanding of requirements engineering and system testing methodologies. To achieve your project goals, I propose the following approach: - Collaborate closely with stakeholders to define and manage system requirements, ensuring traceability and clarity. - Plan and execute comprehensive system-level testing activities, focusing on performance evaluation and root-cause analysis. - Facilitate effective communication between development teams and suppliers to streamline the integration process. - Ensure compliance with ISO 26262 and cybersecurity standards throughout the development lifecycle. I am eager to discuss how my skills align with your needs and am ready to start immediately. Thank you for considering my proposal.

@Lazarone1

URGENT ON SITE AVAILABILITY POSSIBLE. hi! there.. i am really interested in adas and camera based perception systems because safer driving technology is becoming very important in everyday life. i have experience with computer vision, c++ and system integration workflows. one challenge can be maintaining reliable object detection under different lighting and weather conditions and another is keeping sensor data and vehicle level validation consistent with iso and automotive standards, but i can handle this with structured testing, optimization and strong debugging skills. i enjoy working on complex automotive systems and long term development. thanks!!

@Aaleen110

I understand you need a System Developer experienced in camera-based ADAS object detection, specifically for functions like Intelligent Speed Assistance and Lane Keeping Assistance within complex automotive environments. I previously architected and delivered a real-time object detection pipeline for a commercial vehicle safety system that reduced false positives by 15% while improving detection latency by 10%. My approach involves defining the system architecture using SysML, then detailing requirements in DOORS. For object detection, I'll leverage PyTorch with a YOLOv8 or similar model, optimized for inference on embedded automotive hardware like NVIDIA Drive AGX using TensorRT. Integration and validation will involve creating simulated test environments in CARLA and conducting hardware-in-the-loop (HIL) testing with real sensor data. What specific hardware platform are you targeting for the embedded inference engine? Ready to start as soon as you confirm scope.

@roell3

Hello, I work on ML-driven perception systems, real-time pipelines, and production validation in regulated environments. The hard parts here are aligning camera perception outputs with vehicle-level behaviors under tight latency and safety constraints. Keeping requirements traceable across suppliers while changes propagate without breaking validation is non-trivial. Proving performance and safety at scale, with consistent ground truth and repeatable tests, is also a core challenge. How is the current E/E architecture partitioned between perception, fusion, and control? What does your data flow look like from capture to evaluation, and how is ground truth established? What are the target SLAs for latency and system-level validation cycles? Happy to discuss further.

@joshuak485

Hi, this is Joshua from Davis. I have strong experience in system development and automotive integration. I understand you need a system developer for camera based ADAS functions in a complex vehicle environment. The goal is to own system architecture, requirements, validation, and cross team coordination for features like ISA, LKA, and Travel Assist. I can help build a structured solution that is traceable, testable, and ready for vehicle level integration. I would work with requirements in DOORS, manage issues in Jira, and support testing and validation with tools like CANoe and ADTF. I can also help with system interfaces, change control, root cause analysis, and compliance topics such as ISO 26262 and cybersecurity. I can communicate in real time in your time zone and can provide a simple demo or part of the project within 12 hours of starting. Q1: What vehicle platform and camera ADAS functions are the top priority? Q2: Which tools and requirement process are already in place? Q3: What on site schedule do you expect in Czech? Best regards, Joshua

@alizain721

The real risk in a camera-based ADAS program is that perception changes, requirement updates, and safety evidence become disconnected during vehicle integration—when that happens ISO 26262 arguments and release gates stall. I have repeatedly faced that failure mode and treat traceable requirements, change control, and vehicle-level validation as the primary project risk to mitigate first. My approach is to own the system architecture and the requirements-to-evidence thread: establish a single source of truth for system requirements with bidirectional traceability, define clear interfaces for camera perception, environment modeling, and driver assistance functions (Intelligent Speed Assistance, Lane Keeping Assistance, Travel Assist), then iterate at vehicle level with staged integration tests, performance metrics, and root-cause cycles. Early tasks: requirement derivation in DOORS or equivalent, high-level safety concept mapped to functional and technical requirements, CI-backed test harnesses for CAN/Ethernet scenarios, and formal change management so every defect links to requirements and test evidence. I will also cover ISO 26262 and automotive cybersecurity requirements in the architecture and verification plan. Relevant: I built Docsify, a safety and compliance SaaS that enforced role-based access, traceable documentation and automated evidence generation workflows for audits. That project’s focus on traceability and gated evidence maps directly to the needs of ADAS safety arguments. - Rate: 27 EUR/hr (proposed) - Tools: experienced with DOORS-equivalent workflows, Jira, CAN tools and vehicle integration test benches; C/C++, CUDA, ML/CV stack - Languages & presence: Czech C2, English B2, able to work regularly on-site in Czech Do you currently have system requirements in DOORS or a requirements spec I can review, and what on-site cadence (days/week) do you expect during integration?

@eshmumkhan

Hello. I am a full stack developer with strong experience in camera-based ADAS development, system architecture, and vehicle integration. I understand you need a system developer to own the architecture for camera-based ADAS functions, manage requirements, integrate and validate features like Intelligent Speed Assistance and Lane Keeping Assistance, and ensure compliance with ISO 26262 and cybersecurity standards. My approach includes defining system requirements with traceability, planning and executing system-level testing, managing technical changes and defect resolution, and acting as the technical interface between development teams and suppliers. I have successfully delivered ADAS projects including a camera-based perception system for a Tier-1 supplier where I managed system integration and validation, and a lane-keeping assistance feature where I handled requirements engineering and toolchain implementation using DOORS and CANoe. I am proficient in ADTF, CANoe, DOORS, Jira, and ODIS, with strong knowledge of vehicle E/E architectures, CAN and Ethernet protocols, and ASPICE processes. I hold a degree in Electrical Engineering and have a C2 level in Czech and B2 in English. I am available for regular on-site work in Czech and ready to contribute immediately. I look forward to collaborating. Best Regards.

@rbtech1984

Hi There!!! ★★★★ (Experienced in camera-based ADAS system integration, validation, and automotive requirements engineering.) ★★★★ I’ve carefully reviewed your requirements and understand you need a System Developer to support camera-based ADAS architecture, requirement management, vehicle integration, validation, and compliance with automotive standards including ISO 26262. The focus is on reliable system development, testing, and cross-functional collaboration. ⚜ ADAS system architecture & integration ⚜ Requirements engineering & traceability ⚜ Camera perception & sensor integration ⚜ Vehicle-level testing & validation ⚜ CAN/CANoe, ADTF, DOORS & Jira ⚜ ISO 26262 & ASPICE compliance ⚜ Root-cause analysis & defect management I have experience working on embedded and automotive software projects with a strong focus on system integration, validation, and structured development processes. I follow a methodical approach to requirement analysis, testing, and documentation while collaborating closely with multidisciplinary teams. I’d be glad to discuss your project, technical expectations, and how I can contribute effectively. Warm Regards, Farhin B.