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Mixed Criticality in Autonomous Vehicles Autonomous vehicles execute tasks across multiple time horizons, each with distinct latency requirements: Strategic level (mission planning): route optimization, 10+ seconds response time Tcatical level (traffic navigation): lane changing, following, obstacle response, 1-10 seconds Operative level (vehi ...

Fundamentals of Lane Detection Detecting road lanes plays a critical role in autonomous driving systems, enabling vehicles to interpret their surroundings and make informed navigation decisions. Modern approaches leverage computer vision techniques that surpass traditional image processing methods in accuracy and robustness. These systems analy ...

Introduction Bird's Eye View (BEV) representation is critical for autonomous driving perception tasks. Two primary approaches exist: explicit depth estimation methods (top-down) and transformer-based BEV query techniques (bottom-up). The Lift-Splat-Shoot (LSS) framework provides an end-to-end solutoin for multi-sensor fusion by eliminating post ...