Autonomous Vehicle Drop-Off Sensing for Hazard-Aware Rider Egress
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Solution Overview
Problem
Autonomous vehicles (AVs) lack the ability to assess and mitigate environmental hazards at drop-off points, particularly for riders with disabilities or in situations where human observation is unavailable, posing risks to passenger safety and convenience.
Innovation Solution
The implementation of a drop-off sensory system in AVs, which uses vehicle perception systems and sensors to detect hazards, provides alerts to riders, and offers alternative drop-off locations or escort services, ensuring rider safety and convenience by integrating with biometric authentication and communication protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles are used for ridehail services without human occupants, then operational efficiency and scalability are improved, but the ability to perform environmental hazard checks and alert riders is lost
Solution Approach 1:
The autonomous vehicle performs its own environmental hazard assessment using onboard sensors (cameras, LIDAR, radar) to detect ice, water, snow, and other hazards around the vehicle. The system independently evaluates drop-off location safety and provides alerts to riders without requiring human intervention, enabling the vehicle to serve itself in the hazard detection function that previously required a human driver.
2Adaptability or versatility
If riders exit vehicles in areas with environmental hazards, then drop-off location flexibility is improved, but rider safety is compromised
Solution Approach 1:
The system performs preliminary environmental hazard assessment of the drop-off location before the rider exits the vehicle. Sensors scan the surrounding area to detect ice, water, snow, and other hazards in advance. Based on this preliminary assessment, the system either alerts the rider to potential dangers or automatically selects an alternative safe drop-off location, preventing hazard exposure before it occurs.
Solution Approach 2:
The hazard assessment system acts as an intermediary between the autonomous vehicle and the rider. It processes environmental data from sensors and translates it into actionable information (alerts, alternative location suggestions) that bridges the gap between the vehicle's operational capabilities and the rider's safety needs, enabling safe drop-offs in diverse locations.
3Reliability
If sensory systems are integrated into autonomous vehicles to detect hazards, then rider safety is improved, but system complexity increases
Solution Approach 1:
The autonomous vehicle's existing sensory systems (cameras, LIDAR, radar) used for navigation and obstacle detection are repurposed to also perform environmental hazard assessment for rider safety. This multi-functional use of sensors avoids adding dedicated hazard detection hardware, reducing system complexity while maintaining comprehensive safety monitoring capabilities.
Data Source
AI summary
A method for controlling a vehicle includes identifying a user identity associated with a user riding in the vehicle, determining a destination associated with the user identity, creating a detection zone proximate to the vehicle when the vehicle is localized in a first drop-off location associated with the destination, causing a sensory system to identify a hazard within the detection zone and generate a localization of the hazard, determining that a first probability of realizing a risk associated with the hazard is less than a first probability threshold, and generating a vehicle door actuation that permits the user to exit the vehicle based on the first probability of realizing the risk.