Autonomous Vehicle Obstacle Maneuvering via Sensor View Restoration
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating around double-parked cars and other obstacles that obstruct their view, hindering their ability to monitor oncoming traffic effectively.
Innovation Solution
The system employs sensors like radar and lidar to detect obstacles, position the vehicle to improve its view without obstructing oncoming traffic, and determine a secondary path to circumnavigate the obstacle, monitoring for clearance before proceeding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle stays in its lane to avoid the obstacle, then collision with the obstacle is avoided, but the view of oncoming traffic in the adjacent lane is occluded
Solution Approach 1:
The vehicle transitions from a two-dimensional lane-keeping approach to a three-dimensional maneuver that utilizes vertical positioning (positioning partially beyond the lane line) and temporal dimensions (monitoring before and during the maneuver) to simultaneously maintain collision avoidance and restore visual access to oncoming traffic
2Loss of information
If the vehicle positions itself beyond the lane line to improve view of oncoming traffic, then visibility is improved, but obstruction of the adjacent lane increases
Solution Approach 1:
The vehicle applies local quality by positioning only a portion of its body beyond the lane line rather than fully crossing into the adjacent lane, thereby achieving sufficient visual exposure to oncoming traffic while minimizing obstruction to the adjacent lane
Solution Approach 2:
The vehicle performs partial action by extending only partially beyond the lane line - enough to improve sensor view of oncoming traffic but not so much as to significantly obstruct the adjacent lane, finding the optimal intermediate position
3Reliability
If the vehicle aborts the maneuver when obstacle moves, then safety is maintained, but navigation efficiency decreases
Solution Approach 1:
The system performs preliminary action by pre-establishing commitment criteria before initiating the maneuver, allowing it to quickly determine whether to proceed or abort based on pre-defined safety thresholds, thereby maintaining safety while enabling efficient decision-making
Solution Approach 2:
The system uses feedback by continuously monitoring obstacle movement and comparing it against commitment thresholds, allowing dynamic adjustment of the maneuver based on real-time conditions - aborting when safety is compromised but proceeding when conditions permit, thus balancing safety and efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows autonomous vehicles to safely maneuver around obstacles, maintaining visibility of oncoming traffic and ensuring safe navigation without significantly disrupting the flow of oncoming vehicles.
Implementation Method 1
receiving, via one or more sensing devices, sensor data relating to an environment associated with a vehicle
Implementation Method 2
measuring, via lidar sensor data, a distance between opposing edges of the obstacle
Data Source
AI summary
Systems and method are provided for controlling a vehicle. In one embodiment, an obstacle management method includes receiving, via sensing devices, sensor data relating to an environment associated with a vehicle, and determining, with the sensor data, the presence of an obstacle that at least partially obstructs an intended path of the vehicle in a first lane adjacent to a second lane and at least partially occludes a view of the second lane by a first sensing device. The method further includes positioning the vehicle with respect to the obstacle to improve the view of the second lane by the first sensing device without significantly obstructing the second lane, determining a second path that circumnavigates the obstacle and rejoins the intended path, and monitoring the opposing lane via the first sensing device to determine when the second path is clear.


