Autonomous Vehicle Slip-Back Detection and Warning System
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Solution Overview
Problem
Conventional motion planning and control systems for autonomous vehicles do not accurately account for differences in vehicle types, leading to potential accidents when a vehicle slips backwards, such as at traffic lights or in traffic jams, as they lack specific warnings for drivers and passengers.
Innovation Solution
An automated warning system that perceives the environment, detects if a vehicle in front is slipping backwards, and generates audio or visual warnings based on the distance and speed of the vehicle, considering slope information and the status of tail or brake lights, to alert both the driver and passengers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional motion planning and control systems are used for autonomous vehicles, then the system complexity is reduced and ease of operation is improved, but the reliability deteriorates because they cannot accurately detect when a front vehicle slips backwards
Solution Approach 1:
The system segments the monitoring task by dividing the front vehicle into multiple detection zones (front bumper, rear bumper, sides) and using multiple sensors (cameras, radar, LIDAR) to monitor different zones simultaneously. This segmentation enables comprehensive detection of slip-back movements while maintaining manageable system complexity through modular sensor placement and processing.
Solution Approach 2:
The system introduces an intermediary warning system that acts as a mediator between the autonomous vehicle and the front vehicle. When slip-back is detected, the system generates warning signals (visual, auditory, haptic) to alert the driver or autonomous system of the following vehicle, providing an intermediate layer of safety without requiring direct intervention in the front vehicle's control systems.
2Reliability
If a warning system is added to detect vehicle slip back, then the reliability is improved, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The system achieves multi-functionality by using the existing autonomous vehicle's sensors (cameras, radar, LIDAR) for multiple purposes: primary navigation, obstacle detection, and slip-back monitoring. The same processing units that handle general autonomous driving tasks are also utilized to analyze slip-back conditions, eliminating the need for dedicated separate systems and reducing overall complexity.
Solution Approach 2:
The autonomous vehicle's existing sensor suite and processing capabilities serve the additional function of slip-back detection. The system leverages its own resources (sensors, processors, power supply) to perform the safety monitoring function, rather than requiring external dedicated systems. This self-service approach minimizes additional hardware requirements while enhancing safety capabilities.
Data Source
AI summary
In one embodiment, a system perceives an environment surrounding an ADV including a vehicle in front of the ADV. The system determines whether the vehicle in front is slipping backwards based on the perception. The system determines whether the vehicle in front is situated on a road with a slope based on map information. The system determines whether a tail light or a brake light of the vehicle in front is turned on based on the perception. If it is determined that the vehicle in front is situated on a sloped road, is slipping backwards, and the tail light or the brake light is not turned on, the system calculates a time to impact or a distance to impact based on the distance and speed of the vehicle in front.