Urban Pedestrian Behavior Prediction for Autonomous Vehicles
Budget: $30 – $250 USD
I'm in need of a highly skilled professional who can implement a solution to accurately predict pedestrian behavior in urban environments. This will be applied to the development of autonomous vehicles, driving enhancements in safety and efficiency.
Key aspects of this project include:
- Execution of optical flow techniques: You ideally have a strong background in this as we will use it as a key component to track motion and predict future behavior.
- Implementation of stacked autoencoders: Similarly, an understanding and experience with machine learning, particularly deep learning in the form of stacked autoencoders, is crucial for this task.
Overall, the goal is to specifically address pedestrian behavior within urban environments, bringing together technical expertise in both optical flow techniques and stacked autoencoders. Proficiency in machine learning and artificial intelligence is a must, coupled with a solid background in traffic management or autonomous vehicles development.
Key aspects of this project include:
- Execution of optical flow techniques: You ideally have a strong background in this as we will use it as a key component to track motion and predict future behavior.
- Implementation of stacked autoencoders: Similarly, an understanding and experience with machine learning, particularly deep learning in the form of stacked autoencoders, is crucial for this task.
Overall, the goal is to specifically address pedestrian behavior within urban environments, bringing together technical expertise in both optical flow techniques and stacked autoencoders. Proficiency in machine learning and artificial intelligence is a must, coupled with a solid background in traffic management or autonomous vehicles development.