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An increase in the number of driverless cars has caused sufficient concern for drivers and pedestrians. Autonomous vehicles with unreliable detection and navigation systems could pose a danger to the road, to people and to property.
Navtech Radar's sensor is a reliable choice all weather sensing on autonomous vehicle applications. The sensors are suited to both on vehicle and infrastructure (on the road rather than on the vehicle) detection. The compact, rugged design allows for easy installation onto vehicles and infrastructure, to ensure autonomous vehicles are entirely safe when operating.
- Fog, snow and rain
- Fire, smoke and hot gasses
- Water and spray
- All levels of light, from complete darkness to sun glare
- Debris and pedestrian detection
- Closed lane and SVD
- 360° scanning ability
- Long range sensing
- Compact, rugged design
How Does it Work?
Example: Navigation research with Oxford Robotics Institute.
On board detection systems navigate and perceive the area around them, detecting any obstacles which may require braking, stopping or changing lanes.
Infrastructure sensors connect to the on board sensors to give warning of any upcoming obstruction or danger which may not be visible from the vehicle yet.
The featured video shows a Navtech Radar sensor on board a vehicle during research by the Oxford Robotics Institute.
Why Choose Navtech Radar's Sensors for Autonomous Vehicles?
- Connectable to independent 'off road' sensors
On board and infrastructure sensors can be connected, to provide a longer range of detection. Obstacles and traffic can be detected in advance to cover parts of the road and surrounding areas which may not be seen from only the on board sensors.
- No active moving parts
The sensors are suitable for fast moving vehicles as they themselves have no moving parts. This means they can be easily installed onto existing vehicles, which are being adapted as self-driving cars.
- Ideal for test routes
Infrastructure sensors are ideal for test routes, as they can provide behaviour analysis of autonomous vehicles, as well as regular traffic behaviour data.