Call for Proposals

Inverted AI is excited to announce a new call for proposals aimed at advancing research and development in the field of Autonomous Vehicles and Advanced Driver Assistance Systems (AV/ADAS). We invite academic researchers to leverage our cutting-edge TorchDriveEnv and extensive suite of APIs and open-source software to tackle some of the most challenging problems in autonomous vehicle technology.

Award Details: Selected projects will receive up to $50,000 USD in Inverted AI API credits. These credits can be used to access a range of tools and resources provided by Inverted AI, enabling recipients to implement, test, and refine solutions using our advanced behavioral models and reinforcement learning environments.

Research Areas: Proposals should focus on using TorchDriveEnv and other Inverted AI resources to address critical challenges in AV/ADAS, including but not limited to: 

• Enhancing behavioral prediction and decision-making algorithms for autonomous systems. 
• Developing solutions for complex traffic environments with high-density and diverse agent behaviors. 
• Improving safety protocols and reducing the sim-to-real gap in AV simulations. 
• Innovating in scalability and efficiency of machine learning models applicable to AV systems. 

Eligibility Criteria: Open to researchers from accredited academic institutions globally. Proposals can be collaborative efforts between multiple institutions. Applicants must demonstrate a track record of relevant research or technological innovation in the fields of machine learning, computer vision, robotics, or related areas. 

Proposal Requirements: A clear description of the problem statement and its significance in the AV/ADAS domain. Detailed methodology outlining how Inverted AI’s resources, including TorchDriveEnv and APIs, will be utilized. A feasible timeline and expected outcomes, with specific milestones and deliverables. A budget outline showing how the API credits will be allocated throughout the project. For the full requirements, please view the proposal template.

Submission Process: Proposals must be submitted electronically via the Inverted AI Research Portal in PDF format. All submissions should adhere to the proposal guidelines and include all required documents. 

Evaluation Criteria: Proposals will be evaluated based on: 

• Relevance and potential impact in the AV/ADAS field. 
• Innovation and scientific merit. Feasibility of the proposed work plan and budget. 
• Qualifications and experience of the project team. 

Award Notifications: Decisions will be communicated to applicants by email. 

We look forward to receiving your innovative proposals and to fostering groundbreaking solutions in the autonomous vehicle space with our Inverted AI community.