In-Vehicle Environmental Mapping for Offline Route Planning
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Solution Overview
Problem
Existing automatic driving systems for vehicles face challenges in determining optimal travel routes, especially in areas without high-precision map information, such as minor streets and parking lots, as they rely on expensive and high-throughput computation devices for real-time processing.
Innovation Solution
An in-vehicle processing device with a sensor input unit, movement information acquisition unit, log recording unit, map generation unit, and route calculation unit creates an environmental map and calculates travel routes using vehicle movement and sensor information, allowing for offline processing and optimal route calculation with inexpensive devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If real-time processing is used for route calculation, then the system can provide immediate navigation guidance, but expensive high-throughput computation devices are required
Solution Approach 1:
The system performs preliminary actions by creating environmental maps and calculating travel routes in advance during periods when the vehicle is parked or not in use. Sensor information and vehicle movement information are recorded and processed offline to generate route data before it is needed, eliminating the need for expensive real-time computation devices during actual navigation.
2Measurement precision
If high-precision map information is created for all areas, then automatic driving can be achieved with high accuracy, but the cost and complexity of maintaining such maps becomes prohibitive
Solution Approach 1:
The system applies local quality by creating environmental maps with high precision only for specific local areas where the vehicle actually travels, such as parking lots and minor streets. Instead of maintaining high-precision maps for all possible areas, the system generates maps locally based on actual vehicle movement patterns and sensor data from those specific locations.
Solution Approach 2:
The system performs self-service by automatically generating and updating environmental maps using sensor information collected during normal vehicle operation. The vehicle itself contributes to map creation through its sensors and movement data, eliminating the need for external teams to manually create and maintain high-precision maps for all areas.
3Device complexity
If offline processing is used for route calculation, then inexpensive computation devices can be used, but the route calculation cannot be performed in real-time
Solution Approach 1:
The system performs route calculation in advance during offline periods when the vehicle is parked or not in use. Environmental maps are created and multiple potential travel routes are calculated beforehand, so that when the vehicle needs navigation, pre-computed routes are already available for immediate use without requiring real-time processing power.
Data Source
AI summary
An in-vehicle processing device comprises a sensor input unit which acquires sensor information as an output of a sensor which acquires information around a vehicle, a movement information acquisition unit which acquires vehicle movement information as information related to a movement of the vehicle, a log recording unit which records information based on the vehicle movement information and the sensor information in a storage unit, a map generation unit which creates an environmental map including a drivable area where the vehicle can travel based on determination of static objects that do not move and mobile objects that can move by using information based on the vehicle movement information and the sensor information recorded in the storage unit, and a route calculation unit which calculates a travel route of the vehicle by using the environmental map, wherein the environmental map includes a position of parking the vehicle.