Essays about: "error estimates"
Showing result 16 - 20 of 187 essays containing the words error estimates.
-
16. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets
University essay from Umeå universitet/Institutionen för fysikAbstract : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. READ MORE
-
17. Hardware Accelerator of Bundle Adjustment Algorithm
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : With the popularization and development of CV technology, the SLAM algorithm is widely used in scenarios such as self-driving cars and autonomous navigation robots. As a key step in the SLAM system, the BA algorithm is responsible for optimizing camera parameters and 3D point coordinates. READ MORE
-
18. Investigating Industry Bias in Swedish Polling from 2010 to 2022
University essay from Uppsala universitet/Statistiska institutionenAbstract : Industry bias is the bias associated with polling estimates, and that is caused by systematic errors. We aim to test for its presence in Swedish political polling from 2010 to 2022 and simulate industry bias as a consequence of nonresponse bias. READ MORE
-
19. Enhancing GNSS Precision for Mobile Devices with Sensor Fusion Techniques: A Case Study on eBike Tracking Using State Estimation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Electric bicycles have over time become a common method of transportation. With a rapidly increasing user base and expensive prices, there is also an increasing demand for safety and insurance. Bike safety can be used to notify the bicycle owner of a potential theft, or to locate the position of the bike when it is lost. READ MORE
-
20. Selective Kernel Network based Crowding Counting and Crowd Density Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE