Eco-Driving Assistance via Roadside Image Recognition
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Solution Overview
Problem
Conventional eco-driving assistance systems are structurally complicated and costly due to the need for multiple sensors to detect vehicle states, and they fail to actively respond to road conditions, leading to ongoing fuel waste and emissions despite passive prompting of drivers.
Innovation Solution
An intuitive eco-driving assistance system that acquires images of road conditions, recognizes traffic signs and obstacles, and provides prompt eco-driving instructions through an image-capturing unit, traffic signal recognition, obstacle detection, and active control over the vehicle's accelerator and brake, eliminating the need for additional sensors and enabling immediate response to road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors are mounted on the vehicle to detect vehicle states, then the fuel-wasting driving behaviors can be detected, but the structural complexity and production cost increase
Solution Approach 1:
The patent extracts the road condition detection function from the vehicle-mounted sensor system and relocates it to a roadside detection system. The roadside device captures images of road conditions, traffic signs, and obstacles, then transmits this information to the vehicle's terminal. This separation eliminates the need for multiple complex vehicle-mounted sensors while maintaining detection capability.
Solution Approach 2:
The patent introduces a roadside detection device and communication network as intermediaries between the road environment and the driver. The roadside device acts as an external sensor that captures road condition information, which is then transmitted via communication network to the vehicle terminal, providing indirect but effective road condition detection without modifying the vehicle structure.
2Reliability
If multiple sensors are mounted on the vehicle to detect vehicle states, then the fuel-wasting driving behaviors can be detected, but the production cost increases
Solution Approach 1:
The patent extracts the detection function from the vehicle and relocates it to the roadside infrastructure. By using existing roadside devices to capture road condition images and transmit them to the vehicle terminal, the system avoids the high cost of equipping each vehicle with multiple sensors, thereby reducing production costs while maintaining detection reliability.
Solution Approach 2:
The roadside detection device serves multiple vehicles simultaneously by capturing road condition information that is transmitted to various vehicle terminals. This multi-functional approach allows a single roadside device to provide detection services to multiple vehicles, reducing the overall system cost compared to equipping each vehicle with its own sensor suite.
3Device complexity
If the system passively receives information from sensors, then the vehicle structure can be simpler, but the system cannot provide immediate response to road conditions
Solution Approach 1:
The roadside detection device continuously captures and processes road condition information in advance, maintaining a real-time database of road conditions, traffic signs, and obstacles. When a vehicle approaches, the system can immediately query and transmit the relevant pre-processed information, enabling fast response without requiring complex real-time sensing on the vehicle itself.
Solution Approach 2:
The system establishes a feedback loop where the roadside device continuously monitors road conditions and transmits updates to vehicle terminals. The vehicle terminal receives real-time feedback about road conditions, traffic signs, and obstacles, enabling the driver to adjust driving behavior promptly. This continuous feedback mechanism ensures rapid response despite the passive nature of the vehicle-mounted terminal.
4Device complexity
If conventional systems only provide passive prompts after fuel-wasting behaviors occur, then the system complexity remains low, but the fuel waste continues throughout the driving process
Solution Approach 1:
The system provides preliminary eco-driving guidance by transmitting road condition information, traffic sign data, and obstacle warnings to the driver before the driver encounters these conditions. This advance notice allows the driver to adjust driving behavior proactively, preventing fuel-wasting actions before they occur rather than merely prompting after the fact.
Solution Approach 2:
The system continuously provides feedback to the driver about optimal driving behaviors based on real-time road conditions, traffic signs, and obstacle information. This ongoing feedback loop guides the driver to maintain fuel-efficient driving patterns throughout the journey, rather than offering isolated prompts that come too late to prevent energy waste.
Data Source
AI summary
An intuitive eco-driving assistance system is mounted on a vehicle and has an input module, a control module and an output module. The control module is electrically connected to the input module and the output module. The output module acquires images ahead of the vehicle and speed signals for the control module to recognize a speed limit, traffic lights and a speed and distance of any obstacle on the images. Furthermore, according to the driving limits of the road and actual vehicle speed, the output module prompts for an eco-driving instruction and the speed limit meeting the road condition visually or audibly. Accordingly, the issue of conventional vehicles being structurally complicated and costly for conserving energy, only passively prompting fuel consumption, and consuming more fuel can be solved without requiring any additional and complicated system.