Denso corporation (20240239344). VEHICLE CONTROL APPARATUS simplified abstract
VEHICLE CONTROL APPARATUS
Organization Name
Inventor(s)
Yuki Yamaguchi of Toyota-shi, Aichi-ken (JP)
Naoki Kusumoto of Okazaki-shi, Aichi-ken (JP)
VEHICLE CONTROL APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240239344 titled 'VEHICLE CONTROL APPARATUS
Simplified Explanation: The patent application describes a system where a vehicle control apparatus tracks the acceleration of a vehicle based on the behavior of an adjacent preceding vehicle.
Key Features and Innovation:
- Vehicle control apparatus tracks own vehicle acceleration based on adjacent preceding vehicle behavior
- Determines whether to continue tracking based on likelihood of adjacent vehicle changing lanes
- Enhances safety and efficiency of vehicle control in traffic situations
Potential Applications: This technology can be applied in:
- Advanced driver assistance systems
- Autonomous vehicles
- Traffic management systems
Problems Solved:
- Improves safety by adjusting own vehicle acceleration based on surrounding traffic
- Enhances efficiency by optimizing acceleration in response to changing traffic conditions
Benefits:
- Increased safety on the road
- Improved traffic flow and reduced congestion
- Enhanced driving experience for users
Commercial Applications: This technology could be utilized in:
- Automotive industry for developing advanced driver assistance systems
- Transportation sector for autonomous vehicles
- Traffic management companies for optimizing traffic flow
Prior Art: Prior art related to this technology may include research on vehicle-to-vehicle communication systems and adaptive cruise control technologies.
Frequently Updated Research: Research on artificial intelligence algorithms for predicting vehicle behavior in traffic scenarios could be relevant to this technology.
Questions about the Technology: 1. How does this technology improve overall road safety? 2. What are the potential implications of this technology on traffic management systems?
1. A relevant generic question not answered by the article, with a detailed answer: How does the system differentiate between adjacent vehicles likely to change lanes and those that are not likely to change lanes? The system uses predictive algorithms based on the behavior of the adjacent vehicle to determine the likelihood of a lane change. Factors such as turn signals, speed variations, and lane positioning are analyzed to make this determination.
2. Another relevant generic question, with a detailed answer: What are the key benefits of tracking own vehicle acceleration based on adjacent vehicle behavior? By tracking acceleration in response to the behavior of the adjacent vehicle, the system can enhance safety by reducing the risk of collisions and improve efficiency by optimizing speed adjustments in traffic situations.
Original Abstract Submitted
when determining that, with an adjacent preceding vehicle selected as a tracking-control target, (i) an operated acceleration request for an own vehicle has been inputted to a vehicle control apparatus and (ii) the adjacent preceding vehicle is likely to be changed as an own-lane preceding vehicle, the vehicle control apparatus performs tracking control of the own vehicle with respect to the adjacent preceding vehicle. when determining that, with the adjacent preceding vehicle selected as the tracking-control target, (i) the operated acceleration request for the own vehicle has been inputted to the vehicle control apparatus and (ii) the adjacent preceding vehicle is unlikely to be changed as an own-lane preceding vehicle, the vehicle control apparatus terminates the tracking control of the own vehicle.