Automotive Sensor Market

Sensor Fusion for Automotive Applications

Mapping stationary objects and tracking moving targets are essential for many autonomous functions in vehicles. In order to compute the map and track estimates, sensor measurements from radar, laser and camera are used together with the standard proprioceptive sensors present in a car. By fusing information from different types of sensors, the accuracy and robustness of the estimates can be inc...

Automotive Sensor Fusion for Situation Awareness

The use of radar and camera for situation awareness is gaining popularity in automotive safety applications. In this thesis situation awareness consists of accurate estimates of the ego vehicle’s motion, the position of the other vehicles and the road geometry. By fusing information from different types of sensors, such as radar, camera and inertial sensor, the accuracy and robustness of those ...

Sensor Data Fusion in Automotive Applications

Sensor data fusion plays an important role in current and future vehicular active safety systems. The development of new advanced sensors is not sufficient enough without the utilisation of enhanced signal processing techniques such as the data fusion methods. A stand alone sensor cannot overcome certain physical limitations as for example the limited range and the field of view. Therefore comb...

Does Electronic Trading Improve Market Efficiency? Evidence from Spatial Arbitrage in the Automotive Market

Price disparities across locations can occur when sellers in one location have difficulty matching with buyers in a different location due to the transaction costs of trading across distance. Spatial arbitrageurs exploit these discrepancies by buying goods from locations where prices are low and reselling them at locations where prices are high. Electronic channels should lower the transaction ...

Multi-sensor data fusion using Bayesian programming : an automotive application