Lane‑Master
Lane Centering & Virtual Boundary Synthesis
Real‑time extraction of virtual lane boundaries on unmarked road surfaces using Semantic Segmentation. Stability maintained despite faded markings and high‑glare lighting.
A vision‑first autonomous driving stack that perceives, reasons, and acts — built for the roads that maps forget.
Where the physical world meets machine intelligence.We build the functional pillars of autonomy. Our expertise spans the critical cycle of Perception, Occupancy, Tracking, and Planning. Level of granularity that allows vehicle to build its own world model in real-time. Integrating modular layers into a unified, query-centric architecture that will define our future L3 and L4 solutions.
Our proprietary INT8 post‑training quantization engine preserves mean Average Precision while slashing compute overhead by 4× — validated across diverse driving conditions without sacrificing detection accuracy in safety‑critical scenarios.
Our expertise lies in porting high-fidelity L2 solutions into production-grade middleware, ensuring every perception module communicates with the vehicle’s actuators with zero-copy efficiency. From raw sensor calibration to TensorRT-accelerated inference. We architect the full-stack path from the neural network to the CAN bus, optimizing for performance and safety-critical reliability on the NVIDIA Orin platform.
Each module engineered for a specific safety‑critical domain, deployable independently or as a unified stack.
Lane Centering & Virtual Boundary Synthesis
Real‑time extraction of virtual lane boundaries on unmarked road surfaces using Semantic Segmentation. Stability maintained despite faded markings and high‑glare lighting.
Smart Following Distance & Cut‑in Response
Continuously adjusts vehicle speed to maintain safe following distance. Detects vehicles cutting into the ego‑lane early and brakes proactively — before a collision threat forms.
Auto Emergency Braking for Pedestrians & Cyclists
Detects pedestrians, cyclists, and other vulnerable road users and applies autonomous emergency braking when a collision is imminent — even in dense urban traffic.
Road Segmentation & Surrounding Object Detection
Classifies every pixel of the road scene in real time: drivable surface, obstacles, road markings, and moving agents — giving the vehicle a full picture of its surroundings.
From L2 Vision‑Only today to L3/L4 Full Self‑Driving — a purposeful 7‑year evolution built on a single hardware architecture.
Production‑ready Euro NCAP compliant L2 ADAS — Lane‑Master, Adaptive Speed Control, Emergency Brake Guard, and Scene Understanding deployed across OEM partners. Available now on NVIDIA DRIVE Orin.
Deployed NowExtended sensor fusion and predictive path planning with highway‑grade automation. Leveraging the same hardware architecture — no OEM redesign required.
In DevelopmentComplete urban autonomy — dynamic semantic mapping, VRU prediction, and multi‑agent interaction handled by a unified NVIDIA DRIVE Orin stack. No hardware overhaul required.
7‑Year VisionWhether you are an OEM integrating L2 features today or a Tier‑1 building the platform for L4 tomorrow — let’s define the right deployment architecture together.
dunlevon2026@gmail.com
Office
Automotive Innovation District,
Banglore 500032, India