The new device delivers three times more AI processing power, stereo vision, and hands-free two-way communication in one ...

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

Data was gathered on the University of Texas (UT) Radionavigation Laboratory (RNL) Sensorium, an integrated platform for automated and connected vehicle perception research. It is equipped with ...

Urban mobility problems demand clarity. Intersections remain the most common sites for crashes, congestion, and violations.

Automated vehicle inspection systems startup UVeye Inc. said today it has closed on a $100 million funding round led by Hanaco VC. The Series D round, which also saw participation from existing ...

Tesla has spent years arguing that a camera‑centric approach to driver assistance can match or surpass the performance of rivals that lean on ultrasonic sensors and radar. The company’s latest ...

Every driver has experienced a moment of apprehension upon hearing or seeing an approaching emergency vehicle, especially if he or she was distracted by music, a conference call, or conversation in ...

Underpinning the Government’s thinking is its 2025 vision for CAM: “By 2025, the UK will begin to see deployments of self-driving vehicles, improving ways in which people and goods are moved around ...

The combination of easily accessible low-cost GNSS spoofers and the emergence of increasingly automated GNSS-reliant ground vehicles prompts a need for fast and reliable GNSS spoofing detection. To ...