On worst case performance of collision avoidance systems. - Jonas Nilsson 001; Anders C. E. Ödblom (Intelligent Vehicles Symposium, 2010)

Performance evaluation method for mobile computer vision systems using augmented reality. - Jonas Nilsson 001; Anders C. E. Ödblom; Jonas Fredriksson; Adeel Zafar; Fahim Ahmed (VR, 2010)

Using Augmentation Techniques for Performance Evaluation in Automotive Safety. - Jonas Nilsson 001; Anders C. E. Ödblom; Jonas Fredriksson; Adeel Zafar (Handbook of Augmented Reality, 2011)

Bundle adjustment using single-track vehicle model. - Jonas Nilsson 001; Jonas Fredriksson; Anders C. E. Ödblom (ICRA, 2013)

Automatic traffic sign recognition based on saliency-enhanced features and SVMs from incrementally built dataset. - Keren Fu; Irene Y. H. Gu; Anders C. E. Ödblom (ICCVE, 2014)

Reliable Vehicle Pose Estimation Using Vision and a Single-Track Model. - Jonas Nilsson 001; Jonas Fredriksson; Anders C. E. Ödblom (IEEE Trans. Intell. Transp. Syst., 2014)

Traffic sign recognition using salient region features: A novel learning-based coarse-to-fine scheme. - Keren Fu; Irene Y. H. Gu; Anders C. E. Ödblom (Intelligent Vehicles Symposium, 2015)

Geodesic distance transform-based salient region segmentation for automatic traffic sign recognition. - Keren Fu; Irene Y. H. Gu; Anders C. E. Ödblom; Feng Liu 013 (Intelligent Vehicles Symposium, 2016)

Worst-Case Analysis of Automotive Collision Avoidance Systems. - Jonas Nilsson 001; Anders C. E. Ödblom; Jonas Fredriksson (IEEE Trans. Veh. Technol., 2016)