AViSense offers an AI‑driven platform that enhances perception, localization, and decision‑making for autonomous and semi‑autonomous vehicles through real‑time multimodal sensor fusion, model‑compressed detection and tracking, and federated learning. Its products include an XR‑based driver interface for situational awareness, a Data Enhancement Kit that upgrades low‑cost cameras and LiDARs, and a Hyper‑Sensing Kit delivering precise mapping and cooperative path planning for connected vehicle fleets.
Funding
Funding not disclosed
Founders
Product
Problem
Current autonomous and semi‑autonomous vehicle systems struggle with limited perception accuracy, high sensor costs, and insufficient driver‑vehicle interaction, leading to safety risks and inefficient operation in complex environments such as traffic, parking, and precision agriculture.
Solution
AViSense provides an AI‑driven platform that enhances vehicle perception, localization, and decision‑making while delivering intuitive extended‑reality (XR) interfaces for drivers. The suite combines advanced sensor‑fusion, object detection, tracking, and scene‑prediction algorithms with model‑compression and federated learning to run efficiently on low‑cost hardware. By augmenting driver awareness through XR overlays and offering specialized kits that upgrade inexpensive cameras, LiDARs, and other sensors, AViSense enables reliable autonomous functions such as collision avoidance, coordinated path planning, valet parking, and traffic monitoring across connected vehicle fleets.
Target Audience
Primary customers are automotive OEMs, fleet operators, and manufacturers of autonomous or semi‑autonomous vehicles seeking to improve perception accuracy, reduce sensor costs, and add XR‑based driver assistance capabilities.
Features
- Real‑time multimodal sensor fusion integrating cameras, LiDAR, RADAR, GNSS, and IMU data for robust perception and mapping
- Object detection, tracking, and scene‑prediction models optimized with compression and acceleration techniques for low‑power devices
- Federated and transfer learning pipelines that improve model performance across distributed vehicle networks while preserving data privacy
- Explainable AI (XAI) visualizations delivered via extended‑reality (XR) headsets to enhance driver situational awareness and reaction time
- Dedicated Data Enhancement Kit that upgrades low‑cost visual and LiDAR sensors to high‑end performance levels
- Hyper‑Sensing Kit providing precise localization, mapping, and cooperative path planning for groups of autonomous agents
- Integrated valet‑parking and AI‑enabled traffic monitoring solutions for urban and industrial deployments