Autonomous Decision Making Process TRIZ Cases

Dynamic deceleration zones adjust travel speed based on obstacle type and distance, resolving collision risks with moving objects without central monitoring.

A hybrid autonomous vehicle system switches between modes to allow manual driving engagement.

An escort vehicle guides a convoy of autonomous cars through tight parking arrays using sensor data and centralized communication links.

Wireless controller matches passenger smartphone identifiers against stored request data to unlock vehicle doors, resolving identity verification bottlenecks.

An automated vehicle controller adjusts navigation parameters using user input interfaces.

A neural network removes visual obstructions from camera feeds to generate a rendered window for autonomous vehicle operators.

A sensor data evaluation system modifies frontend parameters using outputs from other sensors to enhance data quality and processing reliability.

A platooning control system coordinates vehicle speeds and inter-vehicle distances to facilitate overtaking maneuvers between platoon groups.

Neural network tracks neighboring vehicles using radio wave sensors to assess lane change feasibility for autonomous driving.

A method generates autonomous driving strategies by measuring ambient scene information and determining running tracks of impediment vehicles.

Segregating a machine-learned graph model into portions assigned to matching computation resources reduces processing latency and improves resource utilization.

A remote driving service processing device mediates consent between a requester and a remote driver to terminate a vehicle service.

A vehicle lane-changing control method adjusts steering actions based on real-time location relations between the host vehicle and referential lane lines.

Electric motors replace gas engines to eliminate shaft-driven rotors, reducing noise while enabling VTOL.

A robot intelligence kernel blends adaptive interactions between predefined decision functions and robot behaviors.

Setting candidate points by distance reduces impassable path calculations, improving planning speed while maintaining comprehensive coverage.

A lidar processing system removes ephemeral noise from point clouds using voxel cell filtering to generate accurate 3D maps.

Software-based diagnostic mode monitors steering command discrepancies to maintain vehicle control reliability when direct actuator signals are unavailable.

Autonomous driving vehicles use segmented partitions and pre-computed authentication codes to resolve the contradiction between system security and boot time.

Direct shared memory access bypasses kernel overhead, reducing latency and improving autonomous vehicle responsiveness.

A vehicle control apparatus adjusts lateral movement based on preceding vehicle detection.

Segmented lane access prevents safety deterioration in mixed traffic by coordinating vehicle movements through infrastructure-mediated communication.

Segments autonomous fleets into groups assigned to specific parking locations based on weighted factors like traffic congestion and service needs.

Relocating terrain databases to ground servers reduces onboard storage requirements while maintaining reliable obstacle alert functionality.

Unmanned airplane switches between high-speed and low-speed flight modes to drive state detection sensors across agricultural fields.