18036858. TRAFFIC EVENT DETECTION APPARATUS, TRAFFIC EVENT DETECTION SYSTEM, METHOD AND COMPUTER READABLE MEDIUM simplified abstract (NEC Corporation)
TRAFFIC EVENT DETECTION APPARATUS, TRAFFIC EVENT DETECTION SYSTEM, METHOD AND COMPUTER READABLE MEDIUM
Organization Name
Inventor(s)
Murtuza Petladwala of Tokyo (JP)
TRAFFIC EVENT DETECTION APPARATUS, TRAFFIC EVENT DETECTION SYSTEM, METHOD AND COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18036858 titled 'TRAFFIC EVENT DETECTION APPARATUS, TRAFFIC EVENT DETECTION SYSTEM, METHOD AND COMPUTER READABLE MEDIUM
Simplified Explanation
The present disclosure describes a traffic event detection apparatus, system, method, and computer-readable medium for accurately detecting traffic events. The apparatus includes a memory and a processor that execute instructions to perform the following:
- Estimate the trajectory of a moving object using a deep neural network based on an oscillation signal induced by the traffic of the moving object.
- Extract the timestamp of the moving object based on its trajectory.
- Extract a portion of the oscillation signal that corresponds to the timestamp of the moving object.
Potential applications of this technology:
- Traffic management systems: The accurate detection of traffic events can help in managing traffic flow and optimizing traffic signal timings.
- Autonomous vehicles: By detecting traffic events, autonomous vehicles can adjust their routes and behaviors accordingly to ensure safety and efficiency.
- Transportation planning: The data obtained from the traffic event detection can be used in transportation planning to identify areas with frequent traffic events and devise strategies to alleviate congestion.
Problems solved by this technology:
- Accurate detection of traffic events: By using a deep neural network to estimate the trajectory of a moving object, the system can accurately detect traffic events.
- Timestamp extraction: The system extracts the timestamp of the moving object based on its trajectory, providing valuable temporal information for analyzing traffic events.
- Signal extraction: The system also extracts the relevant portion of the oscillation signal, allowing for further analysis and understanding of the traffic event.
Benefits of this technology:
- Improved traffic management: Accurate detection of traffic events can lead to better traffic management strategies, reducing congestion and improving overall traffic flow.
- Enhanced safety: By detecting traffic events, autonomous vehicles can proactively avoid potential hazards and ensure the safety of passengers and other road users.
- Efficient transportation planning: The data obtained from the traffic event detection can be used to optimize transportation planning, leading to more efficient and sustainable transportation systems.
Original Abstract Submitted
An object of the present disclosure is to provide a traffic event detection apparatus, traffic event detection system, a method and a non-transitory computer readable medium capable of detecting traffic events correctly. A traffic event detection apparatus includes at least one memory configured to store instructions and at least one processor configured to execute the instructions to: estimate a trajectory of a moving object based on an oscillation signal by using deep neural network, while the oscillation signal is induced by traffic of the moving object; extract a timestamp of the moving object based on the trajectory of the moving object; and extract a part of the oscillation signal corresponding to the timestamp of the moving object.
