Autonomous Vehicle Driving Mode Selection
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Solution Overview
Problem
Autonomous vehicles lack efficient methods to dynamically select driving modes based on vehicle proximity and passenger presence, leading to suboptimal energy usage and travel time.
Innovation Solution
A system equipped with sensors and processors that generate output signals for vehicle proximity and passenger presence information, allowing for the selection of different driving modes to optimize energy efficiency and travel time by determining the presence of nearby vehicles and passengers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If autonomous vehicles use a single driving mode, then the system complexity is reduced, but energy efficiency and travel time optimization are compromised
Solution Approach 1:
The system dynamically selects between different driving modes (energy-efficient mode and time-efficient mode) based on real-time sensor data about vehicle proximity and passenger presence, allowing the autonomous vehicle to adapt its driving behavior to current conditions rather than using a fixed single mode
Solution Approach 2:
The system changes operational parameters by switching between driving modes with different characteristics - one optimized for energy efficiency and another for travel time - based on environmental conditions detected by sensors, thereby optimizing energy usage without requiring a completely complex multi-mode system
2Device complexity
If autonomous vehicles use a single driving mode, then the control system is simplified, but travel time optimization is compromised
Solution Approach 1:
The control system dynamically adjusts driving mode selection based on real-time conditions such as vehicle proximity and passenger presence, enabling the vehicle to switch between energy-efficient and time-efficient modes as needed rather than being constrained to a single static mode
Solution Approach 2:
The system optimizes travel time by changing operational parameters through mode selection - switching to a time-efficient driving mode when conditions permit (such as when no passengers are present or when vehicles are far apart) while maintaining a simpler control architecture than full autonomous mode switching
3Use of energy by moving object
If driving mode selection is based on vehicle proximity and passenger presence, then energy efficiency is improved, but sensor processing complexity increases
Solution Approach 1:
The sensor system performs multiple functions - detecting both vehicle proximity and passenger presence - using the same sensor array and processing architecture, thereby improving energy efficiency through informed mode selection without proportionally increasing processing complexity
Solution Approach 2:
The existing sensor system on the autonomous vehicle is leveraged to provide additional functionality for mode selection decisions, using already-acquired sensor data about the environment and vehicle occupancy to determine optimal driving modes without requiring separate dedicated sensing systems
Data Source
AI summary
Systems and methods for selecting among different driving modes for autonomous driving of a vehicle may: generate output signals; determine the vehicle proximity information that indicates whether one or more vehicles are within the particular proximity of the vehicle; determine the internal passenger presence information that indicates whether one or more passengers are present in the vehicle; select a first driving mode or a second driving mode based on one or more determinations; and control the vehicle autonomously in accordance with the selection of either the first driving mode or the second driving mode.